What just happened? Enthusiast-class discrete graphics cards typically dominate conversations about high performance, but integrated GPUs aren't far behind when it comes to overclocking records for clock frequency. The latest world record holder recently explained how he managed voltage and temperature levels to push an Intel iGPU past the 4GHz mark for the very first time. Overclocker Pieter Massman recently detailed how he set a new graphics clock frequency world record at Computex 2025. While most recent record holders have used Nvidia's flagship RTX 4090, Massman surpassed them using the integrated GPU from an Intel Core Ultra 9 285K. With help from Asus overclocker Peter "Shamino" Tan, Massman pushed the Arrow Lake processor's Xe2-LPG 64EU iGPU to 4.25GHz – more than double its stock boost clock. The team achieved the feat twice, validating the results in CPU-Z during a livestream in the early days of this year's Computex event in Taiwan. According to Massman's blog, Skatter Bencher, the achievement marks a new world record for both integrated GPU clock frequency and GPU clock frequency overall. Since the RTX 4090 launched in 2022, frequency records have steadily climbed from around 3.3GHz to 4.02GHz in 2023. Massman had previously set the iGPU record at 3.9GHz during an Arrow Lake launch event late last year – using the same chip he would later overclock at Computex. The overclock involved setting the GT ratio to multiply the default reference clock by a factor of 85, the highest available setting. Initially, Massman supplied 1.3V to the integrated GPU via a VccGT voltage rail dedicated to the CPU's graphics tile cores, but this only reached 3.1GHz. // Related Stories Pushing further required a delicate balance of overvolting and liquid nitrogen cooling, ultimately achieving 4.25GHz with 1.7V and a temperature of -170°C. However, measuring the iGPU's performance at those settings overwhelmed several common benchmarking tools. Furmark crashed after reaching 2,800 points in 1080p, 3DMark Speed Way halted around 650 marks, and GPUPI 1B only ran for about 17.9 seconds. To stabilize the system, the team overclocked the graphics die-to-die interface and increased the reference clock. While discrete and overall GPU clock frequency records have steadily risen since the early 2000s, progress with iGPUs only resumed recently. After breaking the 2GHz barrier in 2011, integrated GPU overclocking plateaued for nearly a decade before surpassing 3GHz in 2023. Whether graphics overclocking will stagnate as CPU frequency gains have since 2010 remains to be seen.

© Henrique Ferreira via Unsplash Finding property lines can be tricky, especially for individuals who are looking to purchase or list a home for sale. Conventional techniques, including engaging surveyors, are costly and labor-intensive. As an alternate solution, technology provides apps that profess to show property lines. This raises the question: How precise are these digital resources at demarcating boundary lines? The emergence of an app that shows property lines has revolutionized how property owners, buyers, and real estate professionals interact with land boundaries. These digital tools leverage advanced mapping technologies to provide visual representations of property boundaries, offering a more accessible alternative to traditional surveying methods while raising important questions about their accuracy and reliability. What Are Property Line Apps? Apps that display property lines use Geographic Information Systems (GIS) and satellite imagery. They offer users a visual display of land boundaries, most commonly available on smartphones or tablets. These apps are meant to help make property borders easier to identify and are a helpful tool for property owners, real estate agents, and buyers. These applications typically draw information from public records, county assessor data, and other official sources to create digital representations of property boundaries. Many also incorporate user-friendly features like measurement tools, parcel information displays, and the ability to save or share property data with others. How Various Factors Affect Accuracy Several factors impact the reliability of property line apps. First, the source of the data is significant. Apps usually have access to government databases and public records that vary in accuracy based on when the data was last refreshed. Second, GPS technology limitations impact accuracy. Although GPS technology is becoming more advanced, apps might still have discrepancies where tree cover or high buildings block signals from satellites and influence tracking accuracy. The resolution of satellite imagery also plays a crucial role in determining how precisely property lines can be displayed. Higher-resolution images allow for more detailed and accurate boundary placements, while lower-quality imagery may result in less precise representations. Additionally, the frequency of data updates affects whether the app reflects recent property divisions, consolidations, or boundary adjustments. Comparing Traditional Surveying and Apps Professional surveyors approach property line determination using high-precision equipment and established methodologies. This traditional approach yields highly accurate results with precise and legally enforceable boundaries. Apps offer more general information on property lines compared to professional surveys. While they are fast and convenient, they provide no substitute for the precision of a professional survey. App-generated boundaries should not be relied upon as definitive indications of legal property lines. Traditional surveys involve physical measurements taken directly on the property, considering historical markers, neighboring properties, and legal descriptions. In contrast, apps rely on digital interpretations of existing records, which may not account for all the nuances that a professional surveyor would observe in person. Advantages of property line applications App-Generated Property Lines Property line apps may have their limitations, but they do have valuable uses. They are useful for general assessments where an immediate overview of boundaries may be required. The applications also have user-friendly interfaces that allow a wider audience to use these applications and learn technical skills. Additionally, they are often enhanced with more functionalities, such as calculating areas and providing land parcel information, thus expanding their usefulness for users. According to the U.S. Bureau of Land Management, these digital tools have significantly increased public access to property information that was previously difficult to obtain without professional assistance. This democratization of property data allows property owners to be more informed about their land assets and helps potential buyers better understand properties of interest before making major decisions. Potential Limitations and Risks Property line apps may be convenient, but they have clear limitations. Since the data relies heavily on public records, data errors are common. It can be outdated or incomplete, which can lead to misunderstandings or disputes. In addition, these apps are incapable of recognizing legal nuances, such as easements or encroachments, which can significantly impact property rights and boundaries. There is also a risk that users might place too much confidence in app-generated boundaries when making important decisions. While these tools can provide helpful guidance, they should not be the sole basis for resolving boundary disputes, building structures near property lines, or making purchase decisions without professional verification. Best Practices for Users Users should follow a few best practices to make the best and most effective use of a property line app. Cross-referencing results with official records verifies data accuracy, minimizing potential inaccuracies. Moreover, when app data is paired with physical inspections, it provides a fuller picture of property lines. Advice from professionals, including surveyors or real estate agents, can also be beneficial, especially for legal transactions. For important matters such as property purchases, boundary disputes, or construction projects near property lines, it’s advisable to use apps as preliminary tools only, following up with professional surveys before making final decisions. Understanding the limitations of these digital tools helps users utilize them appropriately within a broader strategy for property boundary determination. Conclusion Instead, property line apps provide a convenient and accessible way to determine where your land ends and where your neighbor’s begins. Yet, the precision of these tools is contingent on multiple factors such as data sources and technological limitations. Although useful as an initial step, these tools should not be used, and they should not be used for legal purposes, instead of professional surveys. Users can properly contextualize property boundary information by understanding what these applications can and cannot do. Technology continues to shape how we deal with real estate by digitalizing and providing easy access to tools that simplify complex processes. These apps will likely improve accuracy over time and become increasingly integral to property transactions. Until then, users must balance convenience with reliability, ensuring that the information they obtain is helpful and accurate. Smart Technologytechnology by ArchEyes Team Leave a comment

TL;DR: Canberra authorities are embracing a tough approach to ransomware threats. A new law will require certain organizations to disclose when and how much they have paid to cybercriminals following a data breach. However, experts remain unconvinced that this is the most effective way to tackle the problem. Companies operating in Australia must now report any payments made to cybercriminals after experiencing a ransomware incident. Government officials hope the new mandate will help them gain a deeper understanding of the issue, as many enterprises continue to pay ransoms whenever they fall victim to file-encrypting malware. Originally proposed last year, the law applies only to companies with an annual turnover exceeding $1.93 million. This threshold targets the top 6.5 percent of Australia's registered businesses – representing roughly half of the country's total economic output. Under the new law, affected companies must report ransomware incidents to the Australian Signals Directorate (ASD). Failure to properly disclose an attack will result in fines under the country's civil penalty system. Authorities are allegedly planning to follow a two-stage approach, initially prioritizing major violations while fostering a "constructive" dialogue with victims. Starting next year, regulators will adopt a much stricter stance toward noncompliant organizations. The Australian government has implemented this mandatory reporting requirement after concluding that voluntary disclosures were insufficient. In 2024, officials noted that ransomware and cyber extortion incidents were vastly underreported, with only one in five victims coming forward. Ransomware remains a highly complex and growing phenomenon, with attacks reaching record levels despite increased law enforcement actions against notorious cyber gangs. Although several governments have proposed similar regulations, Australia is the first country to formally enact such a law. // Related Stories Jeff Wichman, director of incident response at cybersecurity firm Semperis, cautions that mandatory reporting is a double-edged sword. While the government may gain valuable data and insights into attacker profiles, the law may not reduce the frequency of attacks. Instead, it could serve mainly to publicly shame breached organizations – while cybercriminals continue to profit. A recent Semperis study found that over 70 percent of 1,000 ransomware-hit companies opted to pay the ransom and hope for the best. "Some companies, they just want to pay it and get things done, to get their data off the dark web. Others, it's a delayed response perspective, they want negotiations to happen with the attacker while they figure out what happened," Wichman explained. According to the study, 60 percent of victims who paid received functional decryption keys and successfully recovered their data. However, in 40 percent of cases, the provided keys were corrupted or ineffective.

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication.There’s no shortage of wireless earbuds out there, but if you’re after strong noise cancellation, bass-heavy sound, full iOS compatibility, and a fit that won’t budge during a workout, you should consider the Beats Fit Pro, and this open-box deal on StackSocial drops the price to $99.99 from the usual $199.99. The sale includes all four color options—white, black, gray, and purple.The “open box” tag just means they’ve likely been handled but not used, and they’ve been inspected to make sure they’re still in new condition. They’re rated IPX4 for water resistance, so sweat and light rain aren’t a problem, though the case itself isn’t protected and doesn’t support wireless charging. Battery life is around six hours with ANC on and another 18 to 23 hours from the case, depending on how you use them.Sound-wise, these lean hard into bass, which some folks will love and others might find a bit much. The low end hits especially well at high volumes without distortion, which makes them great for hip-hop, pop or EDM, notes this PCMag review. The downside is that there’s no customizable EQ, so if you’re not into that sculpted sound, you can’t do much about it. The noise cancellation holds up pretty well for things like plane rumbles and low-frequency distractions, but don’t expect total silence in a noisy café (higher-pitched noises still leak through). There’s also a decent Transparency Mode that lets in just enough outside sound for you to cross the street or chat with someone without pulling out an earbud. Android users do get access to most core features through the Beats app, but some perks like automatic switching, hands-free Siri, and Spatial Audio are still iOS-only. Getting all that for half off isn't a bad deal.

Remember the banana peels, apple cores, and leftover pizza you recently threw in the garbage? Today, your food waste—and your neighbors’—is emitting climate-warming greenhouse gases as it decomposes in a nearby municipal landfill. Buried food scraps and yard waste at 51 dumps across Colorado generate an amount of methane equivalent to driving 1 million gasoline-powered cars for a year. About 80 times as potent as carbon dioxide as a greenhouse gas over a period of 20 years, methane accounts for 11% of global emissions that scientists say are warming the atmosphere and contributing to more intense and severe weather, wildfires, and drought. Landfills are the third-largest source of methane pollution in Colorado, after agriculture and fossil fuel extraction. Draft methane rules released last month by the state’s Department of Public Health and Environment would, for the first time, require some dump operators to measure and quantify methane releases and to fix leaks. The proposal mandates that waste managers install a gas collection system if their dump generates a certain amount of the climate-warming gas.  It also addresses loopholes in federal law that allow waste to sit for five years before such systems are required—even though science has shown that half of all food waste decays within about three and a half years. The draft rule surpasses U.S. Environmental Protection Agency standards in the amount of landfill area operators must monitor for emissions. It’s set to be heard by the state’s Air Quality Control Commission in August. Proposed regulations require the elimination of open gas flares—burning emissions directly into the atmosphere—and urge the use of biocovers and biofilters, which rely on bacteria to break down gases. The 70-page draft also calls for more routine and thorough monitoring of a dump surface with advanced technologies like satellites, which recently recorded large plumes of methane escaping from a Denver-area landfill. “We’ve had our eyes opened thanks to technology that has made the invisible, visible—now we know the extent of the problem, which is much greater than what estimates have portrayed,” said Katherine Blauvelt, circular economy director at Industrious Labs, a nonprofit working to decarbonize industry.  “When landfill operators fail to control leaks, we know harmful pollutants are coming along for the ride.” Cancer-causing volatile organic compounds, such as benzene and toluene, escape with methane leaching from landfills. These chemicals also contribute to the formation of lung-damaging ozone pollution, an increasing problem for the 3.6 million people who live in the greater Denver metropolitan area. Indeed, the region along the eastern slope of the Rocky Mountains ranked sixth in the nation for the most polluted air—with unhealthy ozone levels reported on one out of every 10 days, on average, according to the American Lung Association’s 2025 “State of the Air” report. The state is also woefully behind in its compliance with federal air quality standards. State officials and environmental advocates agree that reducing methane emissions from landfills, which are easier to mitigate than cow burps, for example, is one of the quickest and most efficient ways to slow warming in the short term. “Waste deposited in landfills continues producing methane for decades as it breaks down—and it’s one sector where Colorado has yet to directly take action to reduce these greenhouse gases,” said Tim Taylor, a supervisor in the state’s air pollution control division, in an online hearing last February on the proposed landfill methane rules. Colorado’s draft regulations are similar to those in California, Oregon, Maryland, and Washington, he added. More than 10 landfills in the state are already required under federal rules to have gas collection and control systems. Yet even with such technology in place, disposal facilities routinely exceed federal methane emissions caps. The state’s health department has also identified a dozen municipal solid waste landfills, based on a preliminary analysis, that would be required to put such systems in place under the proposed rules, Zachary Aedo, an agency spokesman, said in an email to Capital & Main. Many of these facilities are operated by counties, some of which expressed concerns about their ability to pay for such systems. “We are a small rural county, and a multimillion-dollar containment system is going to be more than we can build,” testified Delta County Commissioner Craig Fuller at the February hearing. “The financial equation of this whole thing is absolutely mind-boggling—we are struggling as it is to provide health and human services.” Other county officials embraced the proposed tightening of rules. “Landfills across Colorado, including in Eagle County, are leading sources of methane pollution,” said Eagle County Commissioner Matt Scherr in a March 6 statement. “As a local elected official I support a robust rule that embraces advanced technologies to cut pollution, protect public health and help the methane mitigation industry thrive.” For larger landfill companies, like Waste Management, which operates 283 active disposal sites nationwide, figuring out which technology works to best monitor emissions from a dump’s surface is proving a complex challenge. The company is testing technologies at facilities with different topographies and climate fluctuations to understand what causes emissions releases, said Amy Banister, Waste Management senior director of air programs. “Landfills are complicated, emissions vary over time, and we have emissions 24/7,” said Banister at an online meeting last September of a technical group created by Colorado health department officials. “Drones produced a lot of false positives—and we need more work understanding how fixed sensors can be applied in a landfill environment.” State health officials suggested municipalities could offset the costs of installing gas collection systems at disposal sites by converting methane into energy. Several landfill operations in Colorado currently have such waste-to-energy systems—which send power they generate to the state’s power grid. “We are mindful of the costs of complying with this rule and how tipping fees may be impacted,” said Taylor, an air quality supervisor, at the February hearing. “Analyses conducted in other states of their landfill methane rules found there wasn’t an increase in tipping fees as a result of regulations over time.” Tipping fees are paid by those who dispose of waste in a landfill. If operators passed on compliance costs to households, a state analysis found, the yearly average annual fee would increase $22.90 per household. Colorado’s push comes as the EPA issued an enforcement alert in September that found “recurring Clean Air Act compliance issues” at municipal solid waste landfills that led to the “significant release of methane,” based on 100 inspections conducted over three years.  Such violations included improper design and installation of gas collection and control systems, failure to maintain adequate “cover integrity,” and improper monitoring of facilities for emissions. To address gaps in federal regulations, which require operators to measure emissions four times a year by walking in a grid pattern across the face of the landfill with a handheld sensor, Colorado’s draft rules require third-party monitoring. Such measurements must be conducted offsite by an entity approved by the state’s air pollution control division that uses a satellite, aircraft or mobile monitoring platform. The infrequency of such grid walks—which skip spots that operators deem dangerous—contributes to the undercounting of methane emissions from landfills, according to a satellite-based analysis. An international team of scientists estimated potent greenhouse gas emissions from landfills are 50% higher than EPA estimates. Satellites like one operated by nonprofit Carbon Mapper found large methane plumes outside the quarterly monitoring periods over the Tower Landfill in Commerce City, northeast of Denver. The satellite allowed scientists to see parts of the landfill not accessible with traditional monitoring—measurements that found that such landfills are underreporting their methane emissions to state regulators, said Tia Scarpelli, a research scientist and waste sector lead at Carbon Mapper. “Landfill emissions tend to be quite persistent—if a landfill is emitting when it’s first observed, it’s likely to be emitting later on,” she added. Scarpelli cautioned that it’s important for regulators to investigate with operators what was happening on the landfill surface at the time the leak was measured. Tower Landfill’s operator, Allied Waste Systems of Colorado, provided reasons for such large methane releases in a January 2024 report to the state’s health department, including equipment malfunctions. The fix for about 22 emissions events over the federal methane limits detected in August 2023 by surface monitoring: “Soil added as cover maintenance.” Like many dumps across Colorado and the nation, the Tower Landfill is located near a community that’s already disproportionately impacted by emissions from industrial activities. “These landfills are not only driving climate change, they are also driving a public health crisis in our community,” said Guadalupe Solis, director of environmental justice programs at Cultivando, a nonprofit led by Latina and Indigenous women in northern Denver. “The Tower Landfill is near nursing homes, clinics, near schools with majority Hispanic students.” Physicians in the state warned that those who live the closest to dumps suffer the worst health effects from pollutants like benzene and hydrogen sulfide, which are linked to cancer, heart, and other health conditions. “People living near landfills, like myself, my family and my patients, experience higher exposure to air pollution,” testified Dr. Nikita Habermehl, a specialist in pediatric emergency medicine who lives near a landfill in Larimer County, at the February 26 public hearing, “leading to increased rates of respiratory issues and headaches and asthma worsened by poor air quality.” —By Jennifer Oldham, Capital & Main This piece was originally published by Capital & Main, which reports from California on economic, political, and social issues.

Published May 31, 2025 10:00am EDT close iPhone users instructed to take immediate action to avoid data breach: 'Urgent threat' Kurt 'The CyberGuy' Knutsson discusses Elon Musk's possible priorities as he exits his role with the White House and explains the urgent warning for iPhone users to update devices after a 'massive security gap.' Data breaches are no longer rare events but a persistent problem. We’ve been seeing regular incidents at public-facing companies across various sectors, including healthcare, retail and finance. While bad actors are certainly to blame, these corporations aren’t entirely without fault. They often make it easy for hackers to access user data by failing to protect it properly. A recent example came to light when a cybersecurity researcher discovered an open database containing over 184 million account credentials. Illustration of a hacker at work. (Kurt "CyberGuy" Knutsson)How the database was uncovered and what it containedCybersecurity researcher Jeremiah Fowler has revealed the existence of an open database that contains 184,162,718 million account credentials. These include email addresses, passwords, usernames and URLs for platforms such as Google, Microsoft, Apple, Facebook and Snapchat. The information also covers banking services, medical platforms and government accounts. Most shockingly, the entire dataset was left completely unsecured. There was no encryption, no authentication required and no form of access control. It was simply a plain text file sitting online for anyone to find.19 BILLION PASSWORDS HAVE LEAKED ONLINE: HOW TO PROTECT YOURSELFFowler located the database during routine scanning of publicly exposed assets. What he found was staggering. The file included hundreds of millions of unique records containing user credentials linked to the world’s largest technology and communication platforms. There were also account details for financial services and official portals used by state institutions.The file was not protected in any way. Anyone who discovered the link could open it in a browser and instantly view sensitive personal data. No software exploit was needed. No password was asked for. It was as open as a public document. Illustration of a hacker at work. (Kurt "CyberGuy" Knutsson)Where did the data come fromFowler believes the data was harvested using an infostealer. These lightweight tools are favored by cybercriminals for their ability to silently extract login credentials and other private information from compromised devices. Once stolen, the data is often sold on dark web forums or used in targeted attacks.After reporting the breach, the hosting provider quickly removed access to the file. However, the owner of the database remains unknown. The provider did not disclose who uploaded it or whether the database was part of a legitimate archive that was accidentally published. Fowler could not determine whether this was the result of negligence or an operation with malicious intent.To verify the data, Fowler contacted some individuals listed in the records. Several confirmed that the information was accurate. This confirmation turns what might seem like abstract statistics into something very real. These were not outdated or irrelevant details. These were live credentials that could allow anyone to hijack personal accounts in seconds.1.7 BILLION PASSWORDS LEAKED ON DARK WEB AND WHY YOURS IS AT RISK Login on a tablet. (Kurt "CyberGuy" Knutsson)6 ways to protect yourself after a data breach1. Change your password on every platform: If your login credentials have been exposed, it’s not enough to change the password on just one account. Cybercriminals often try the same combinations across multiple platforms, hoping to gain access through reused credentials. Start by updating your most critical accounts, email, banking, cloud storage and social media, then move on to others. Use a new, unique password for each platform and avoid variations of old passwords, as they can still be predictable. Consider using a password manager to generate and store complex passwords. Our top-rated password manager delivers powerful protection to help keep your accounts secure. It features real-time data breach monitoring to alert you if your login details have been exposed, plus a built-in data breach scanner that checks your saved emails, passwords and credit card information against known leak databases. A password health checker also highlights weak, reused or compromised passwords so you can strengthen your online defenses with just a few clicks. Get more details about my best expert-reviewed Password Managers of 2025 here.2. Enable two-factor authentication: Two-factor authentication, or 2FA, is a critical security feature that drastically reduces the risk of unauthorized access. Even if someone has your password, they won’t be able to log in without the second verification step, usually a one-time code sent to your phone or an authenticator app. Enable 2FA on all services that support it, especially your email, financial accounts and any service that stores sensitive personal data.3. Watch for unusual account activity: After a breach, it’s common for compromised accounts to be used for spam, scams, or identity theft. Pay close attention to signs such as login attempts from unfamiliar locations, password reset requests you didn’t initiate or unexpected messages sent from your accounts. Most platforms allow you to review login history and connected devices. If you see something off, take action immediately by changing your password and revoking suspicious sessions.4. Invest in personal data removal services: You should also consider a data removal service. Given the scale and frequency of breaches like the one described above, relying on personal caution alone is no longer enough. Automated data removal services can provide an essential extra layer of defense by continuously scanning for and helping eliminate your exposed information from data broker sites and other online sources. While no service promises to remove all your data from the internet, having a removal service is great if you want to constantly monitor and automate the process of removing your information from hundreds of sites continuously over a longer period of time. Check out my top picks for data removal services here. Get a free scan to find out if your personal information is already out on the web.5. Avoid clicking on suspicious links and use strong antivirus software: One of the most common post-breach threats is phishing. Cybercriminals often use information from leaked databases to craft convincing emails that urge you to verify your account or reset your password. Never click on links or download attachments from unknown or suspicious sources. Instead, visit websites by typing the URL directly into your browser. The best way to safeguard yourself from malicious links is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe. Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.6. Keep your software and devices up to date: Many cyberattacks exploit known vulnerabilities in outdated software. Operating systems, browsers, antivirus programs and even apps need to be updated regularly to patch security flaws. Turn on automatic updates wherever possible so you’re protected as soon as fixes are released. Staying current with your software is one of the easiest and most effective ways to block malware, ransomware and spyware from infiltrating your system. Kurt’s key takeawaySecurity is not only the responsibility of companies and hosting providers. Users need to adopt better practices, including unique passwords, multifactor authentication and regular reviews of their digital footprint. The careless exposure of over 184 million credentials is not just a mistake. It is an example of how fragile our systems remain when even basic protection is absent. In an era where artificial intelligence, quantum computing, and global connectivity are reshaping technology, it is unacceptable that plain text files containing financial and governmental credentials are still left sitting online.CLICK HERE TO GET THE FOX NEWS APPDo you feel that companies are doing enough to protect your data from hackers and other cyber threats? Let us know by writing us atCyberguy.com/ContactFor more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/NewsletterAsk Kurt a question or let us know what stories you'd like us to cover.Follow Kurt on his social channels:Answers to the most-asked CyberGuy questions:New from Kurt:Copyright 2025 CyberGuy.com. All rights reserved.   Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Posted on : May 31, 2025 By Tech World Times Security Testing  Rate this post In a digital era where cyberattacks are increasing in frequency, complexity, and cost, organizations must stay one step ahead by investing in robust cybersecurity strategies. At the heart of this defense lies Cyber Security Threat Analysis, a process that helps businesses detect, understand, and respond to threats before they escalate. This comprehensive guide explores the fundamentals of threat analysis, the methodologies used in 2025, emerging trends, and how companies can implement an effective threat analysis framework to safeguard their digital assets. What is Cyber Security Threat Analysis? Cyber Security Threat Analysis is the process of identifying, assessing, and prioritizing potential and existing cybersecurity threats. It involves analyzing data from various sources to uncover vulnerabilities, detect malicious activity, and evaluate the potential impact on systems, networks, and data. The goal is to proactively defend against attacks rather than react to them after damage is done. Why Threat Analysis Matters in 2025 With the growing adoption of AI, IoT, cloud computing, and remote work, the digital landscape has expanded. This has also widened the attack surface for threat actors. According to recent studies, global cybercrime costs are projected to reach $10.5 trillion annually by 2025. Threat analysis is no longer optional; it’s a critical component of enterprise cybersecurity strategies. Key Components of Cyber Security Threat Analysis Threat Intelligence Gathering Collecting data from open-source intelligence (OSINT), internal systems, dark web monitoring, and threat intelligence platforms.Threat Identification Recognizing indicators of compromise (IOCs), such as malicious IP addresses, abnormal behavior, and unusual login attempts.Risk Assessment Evaluating the likelihood and potential impact of a threat on business operations.Vulnerability Management Identifying weaknesses in systems, applications, and networks that could be exploited.Incident Response Planning Developing action plans to quickly contain and remediate threats. Types of Cyber Threats in 2025 Threat actors continue to evolve, leveraging advanced techniques to breach even the most secure environments. Here are the most prominent threats organizations face in 2025: Ransomware-as-a-Service (RaaS): Cybercriminals offer ransomware toolkits to affiliates, enabling less-skilled attackers to launch sophisticated attacks. Phishing 3.0: AI-generated deepfake emails and voice messages make phishing harder to detect. Supply Chain Attacks: Attackers compromise third-party software or vendors to gain access to larger networks. Cloud Security Breaches: Misconfigured cloud environments remain a top vulnerability. IoT Exploits: Devices with weak security protocols are targeted to infiltrate larger systems. Insider Threats: Employees or contractors may intentionally or unintentionally expose systems to risk. Modern Threat Analysis Methodologies 1. MITRE ATT&CK Framework The MITRE ATT&CK framework maps the behavior and techniques of attackers, providing a structured method to analyze and predict threats. 2. Kill Chain Analysis Developed by Lockheed Martin, this method breaks down the stages of a cyberattack from reconnaissance to actions on objectives, allowing analysts to disrupt attacks early in the chain. 3. Threat Modeling Threat modeling involves identifying assets, understanding potential threats, and designing countermeasures. STRIDE (Spoofing, Tampering, Repudiation, Information disclosure, Denial of service, Elevation of privilege) is a popular model used in 2025. 4. Behavior Analytics User and Entity Behavior Analytics (UEBA) uses machine learning to detect anomalies in user behavior that could indicate threats. The Role of AI and Automation in Threat Analysis Artificial Intelligence (AI) and automation are revolutionizing Cyber Security Threat Analysis in 2025. AI-driven analytics tools can: Correlate large volumes of data in real-time Detect zero-day vulnerabilities Predict attack patterns Automate incident response processes Platforms like IBM QRadar, Microsoft Sentinel, and Splunk integrate AI capabilities for enhanced threat detection and response. Building a Threat Analysis Framework in Your Organization Establish Objectives Define what you want to protect, the types of threats to look for, and the goals of your analysis.Choose the Right Tools Invest in threat intelligence platforms, SIEM systems, and endpoint detection and response (EDR) tools.Create a Skilled Team Assemble cybersecurity professionals including threat hunters, analysts, and incident responders.Integrate Data Sources Pull data from internal logs, external intelligence feeds, user activity, and cloud services.Run Simulations Regularly test your threat detection capabilities using red teaming and penetration testing.Review and Adapt Continuously update the threat model based on evolving threats and organizational changes. Metrics to Measure Threat Analysis Success Mean Time to Detect (MTTD): Time taken to identify a threat. Mean Time to Respond (MTTR): Time taken to neutralize the threat. False Positive Rate: Accuracy of alerts generated. Threat Coverage: Percentage of known threats the system can detect. Business Impact Score: How much value the threat analysis process adds to business continuity and risk mitigation. Challenges in Cyber Security Threat Analysis Data Overload: Managing and analyzing massive volumes of data can be overwhelming. Alert Fatigue: Too many alerts, including false positives, reduce response effectiveness. Talent Shortage: Skilled cybersecurity professionals are in high demand but short supply. Rapid Threat Evolution: Attack techniques evolve quickly, making it hard to maintain up-to-date defenses. Best Practices for Effective Threat Analysis Prioritize Critical Assets: Focus analysis efforts on high-value systems and data. Implement Zero Trust Security: Never trust, always verify; ensure robust identity and access controls. Automate Where Possible: Use automation to handle repetitive tasks and free up human resources for strategic analysis. Encourage a Security Culture: Train employees to recognize and report suspicious activity. Leverage Community Intelligence: Participate in threat intelligence sharing communities like ISACs (Information Sharing and Analysis Centers). Future of Threat Analysis Beyond 2025 The future of Cyber Security Threat Analysis will continue to evolve with: Quantum Computing Threats: New cryptographic challenges will require upgraded threat models. Decentralized Threat Intelligence: Blockchain-based threat sharing platforms could emerge. Autonomous Cyber Defense: AI systems capable of defending networks without human input. Conclusion Cyber Security Threat Analysis is an indispensable element of modern digital defense, especially in a hyper-connected 2025. With increasingly sophisticated threats on the horizon, businesses must adopt proactive threat analysis strategies to protect their digital environments. From leveraging AI tools to integrating structured methodologies like MITRE ATT&CK and STRIDE, a multi-layered approach can provide robust defense against cyber adversaries. Investing in skilled teams, up-to-date technologies, and continuous improvement is essential to building resilient cybersecurity infrastructure. FAQs 1. What is Cyber Security Threat Analysis? It is the process of identifying, evaluating, and mitigating potential cybersecurity threats to protect data, networks, and systems.2. Why is threat analysis important in 2025? With rising digital threats and complex attack vectors, proactive analysis helps businesses prevent breaches and minimize damage.3. Which tools are best for threat analysis? Popular tools include Splunk, IBM QRadar, Microsoft Sentinel, and CrowdStrike.4. How does AI help in threat analysis? AI helps by automating data analysis, detecting patterns, and predicting threats in real-time.5. What industries benefit most from threat analysis? Finance, healthcare, government, and tech sectors, where data protection and regulatory compliance are critical.Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

In June, we hosted a webinar featuring experts from Arm, the Unity Accelerate Solutions team, and SYBO Games, the creator of Subway Surfers. The resulting roundtable focused on profiling tips and strategies for mobile games, the business implications of poor performance, and how SYBO shipped a hit mobile game with 3 billion downloads to date.Let’s dive into some of the follow-up questions we didn’t have time to cover during the webinar. You can also watch the full recording.We hear a lot about the Unity Profiler in relation to CPU profiling, but not as much about the Profile Analyzer (available as a Unity package). Are there any plans to improve it or integrate it into the core Profiler toolset?There are no immediate plans to integrate the Profile Analyzer into the core Editor, but this might change as our profiling tools evolve.Does Unity have any plans to add an option for the GPU Usage Profiler module to appear in percentages like it does in milliseconds?That’s a great idea, and while we can’t say yes or no at the time of this blog post, it’s a request that’s been shared with our R&D teams for possible future consideration.Do you have plans for tackling “Application Not Responding” (ANR) errors that are reported by the Google Play store and don’t contain any stack trace?Although we don’t have specific plans for tracking ANR without stack trace at the moment, we will consider it for the future roadmap.How can I share my feedback to help influence the future development of Unity’s profiling tools?You can keep track of upcoming features and share feedback via our product board and forums. We are also conducting a survey to learn more about our customers’ experience with the profiling tools. If you’ve used profiling tools before (either daily or just once) or are working on a project that requires optimization, we would love to get your input. The survey is designed to take no more than 5–10 minutes to complete.By participating, you’ll also have the chance to opt into a follow-up interview to share more feedback directly with the development team, including the opportunity to discuss potential prototypes of new features.Is there a good rule for determining what counts as a viable low-end device to target?A rule of thumb we hear from many Unity game developers is to target devices that are five years old at the time of your game’s release, as this helps to ensure the largest user base. But we also see teams reducing their release-date scope to devices that are only three years old if they’re aiming for higher graphical quality. A visually complex 3D application, for example, will have higher device requirements than a simple 2D application. This approach allows for a higher “min spec,” but reduces the size of the initial install base. It’s essentially a business decision: Will it cost more to develop for and support old devices than what your game will earn running on them?Sometimes the technical requirements of your game will dictate your minimum target specifications. So if your game uses up large amounts of texture memory even after optimization, but you absolutely cannot reduce quality or resolution, that probably rules out running on phones with insufficient memory. If your rendering solution requires compute shaders, that likely rules out devices with drivers that can’t support OpenGL ES 3.1, Metal, or Vulkan.It’s a good idea to look at market data for your priority target audience. For instance, mobile device specs can vary a lot between countries and regions. Remember to define some target “budgets” so that benchmarking goals for what’s acceptable are set prior to choosing low-end devices for testing.For live service games that will run for years, you’ll need to monitor their compatibility continuously and adapt over time based on both your actual user base and current devices on the market.Is it enough to test performance exclusively on low-end devices to ensure that the game will also run smoothly on high-end ones?It might be, if you have a uniform workload on all devices. However, you still need to consider variations across hardware from different vendors and/or driver versions.It’s common for graphically rich games to have tiers of graphical fidelity – the higher the visual tier, the more resources required on capable devices. This tier selection might be automatic, but increasingly, users themselves can control the choice via a graphical settings menu. For this style of development, you’ll need to test at least one “min spec” target device per feature/workload tier that your game supports.If your game detects the capabilities of the device it’s running on and adapts the graphics output as needed, it could perform differently on higher end devices. So be sure to test on a range of devices with the different quality levels you’ve programmed the title for.Note: In this section, we’ve specified whether the expert answering is from Arm or Unity.Do you have advice for detecting the power range of a device to support automatic quality settings, particularly for mobile?Arm: We typically see developers doing coarse capability binning based on CPU and GPU models, as well as the GPU shader core count. This is never perfect, but it’s “about right.” A lot of studios collect live analytics from deployed devices, so they can supplement the automated binning with device-specific opt-in/opt-out to work around point issues where the capability binning isn’t accurate enough.As related to the previous question, for graphically rich content, we see a trend in mobile toward settings menus where users can choose to turn effects on or off, thereby allowing them to make performance choices that suit their preferences.Unity: Device memory and screen resolution are also important factors for choosing quality settings. Regarding textures, developers should be aware that Render Textures used by effects or post-processing can become a problem on devices with high resolution screens, but without a lot of memory to match.Given the breadth of configurations available (CPU, GPU, SOC, memory, mobile, desktop, console, etc.), can you suggest a way to categorize devices to reduce the number of tiers you need to optimize for?Arm: The number of tiers your team optimizes for is really a game design and business decision, and should be based on how important pushing visual quality is to the value proposition of the game. For some genres it might not matter at all, but for others, users will have high expectations for the visual fidelity.Does the texture memory limit differ among models and brands of Android devices that have the same amount of total system memory?Arm: To a first-order approximation, we would expect the total amount of texture memory to be similar across vendors and hardware generations. There will be minor differences caused by memory layout and alignment restrictions, so it won’t be exactly the same.Is it CPU or GPU usage that contributes the most to overheating on mobile devices?Arm: It’s entirely content dependent. The CPU, GPU, or the DRAM can individually overheat a high-end device if pushed hard enough, even if you ignore the other two completely. The exact balance will vary based on the workload you are running.What tips can you give for profiling on devices that have thermal throttling? What margin would you target to avoid thermal throttling (i.e., targeting 20 ms instead of 33 ms)?Arm: Optimizing for frame time can be misleading on Android because devices will constantly adjust frequency to optimize energy usage, making frame time an incomplete measure by itself. Preferably, monitor CPU and GPU cycles per frame, as well as GPU memory bandwidth per frame, to get some value that is independent of frequency. The cycle target you need will depend on each device’s chip design, so you’ll need to experiment.Any optimization helps when it comes to managing power consumption, even if it doesn’t directly improve frame rate. For example, reducing CPU cycles will reduce thermal load even if the CPU isn’t the critical path for your game.Beyond that, optimizing memory bandwidth is one of the biggest savings you can make. Accessing DRAM is orders of magnitude more expensive than accessing local data on-chip, so watch your triangle budget and keep data types in memory as small as possible.Unity: To limit the impact of CPU clock frequency on the performance metrics, we recommend trying to run at a consistent temperature. There are a couple of approaches for doing this:Run warm: Run the device for a while so that it reaches a stable warm state before profiling.Run cool: Leave the device to cool for a while before profiling. This strategy can eliminate confusion and inconsistency in profiling sessions by taking captures that are unlikely to be thermally throttled. However, such captures will always represent the best case performance a user will see rather than what they might actually see after long play sessions. This strategy can also delay the time between profiling runs due to the need to wait for the cooling period first.With some hardware, you can fix the clock frequency for more stable performance metrics. However, this is not representative of most devices your users will be using, and will not report accurate real-world performance. Basically, it’s a handy technique if you are using a continuous integration setup to check for performance changes in your codebase over time.Any thoughts on Vulkan vs OpenGL ES 3 on Android? Vulkan is generally slower performance-wise. At the same time, many devices lack support for various features on ES3.Arm: Recent drivers and engine builds have vastly improved the quality of the Vulkan implementations available; so for an equivalent workload, there shouldn’t be a performance gap between OpenGL ES and Vulkan (if there is, please let us know). The switch to Vulkan is picking up speed and we expect to see more people choosing Vulkan by default over the next year or two. If you have counterexamples of areas where Vulkan isn’t performing well, please get in touch with us. We’d love to hear from you.What tools can we use to monitor memory bandwidth (RAM <-> VRAM)?Arm: The Streamline Profiler in Arm Mobile Studio can measure bandwidth between Mali GPUs and the external DRAM (or system cache).Should you split graphical assets by device tiers or device resolution?Arm: You can get the best result by retuning assets, but it’s expensive to do. Start by reducing resolution and frame rate, or disabling some optional post-processing effects.What is the best way to record performance metric statistics from our development build?Arm: You can use the Performance Advisor tool in Arm Mobile Studio to automatically capture and export performance metrics from the Mali GPUs, although this comes with a caveat: The generation of JSON reports requires a Professional Edition license.Unity: The Unity Profiler can be used to view common rendering metrics, such as vertex and triangle counts in the Rendering module. Plus you can include custom packages, such as System Metrics Mali, in your project to add low-level Mali GPU metrics to the Unity Profiler.What are your recommendations for profiling shader code?You need a GPU Profiler to do this. The one you choose depends on your target platform. For example, on iOS devices, Xcode’s GPU Profiler includes the Shader Profiler, which breaks down shader performance on a line-by-line basis.Arm Mobile Studio supports Mali Offline Compiler, a static analysis tool for shader code and compute kernels. This tool provides some overall performance estimates and recommendations for the Arm Mali GPU family.When profiling, the general rule is to test your game or app on the target device(s). With the industry moving toward more types of chipsets (Apple M1, Arm, x86 by Intel, AMD, etc.), how can developers profile and pinpoint issues on the many different hardware configurations in a reasonable amount of time?The proliferation of chipsets is primarily a concern on desktop platforms. There are a limited number of hardware architectures to test for console games. On mobile, there’s Apple’s A Series for iOS devices and a range of Arm and Qualcomm architectures for Android – but selecting a manageable list of representative mobile devices is pretty straightforward.On desktop it’s trickier because there’s a wide range of available chipsets and architectures, and buying Macs and PCs for testing can be expensive. Our best advice is to do what you can. No studio has infinite time and money for testing. We generally wouldn’t expect any huge surprises when comparing performance between an Intel x86 CPU and a similarly specced AMD processor, for instance. As long as the game performs comfortably on your minimum spec machine, you should be reasonably confident about other machines. It’s also worth considering using analytics, such as Unity Analytics, to record frame rates, system specs, and player options’ settings to identify hotspots or problematic configurations.We’re seeing more studios move to using at least some level of automated testing for regular on-device profiling, with summary stats published where the whole team can keep an eye on performance across the range of target devices. With well-designed test scenes, this can usually be made into a mechanical process that’s suited for automation, so you don’t need an experienced technical artist or QA tester running builds through the process manually.Do you ever see performance issues on high-end devices that don’t occur on the low-end ones?It’s uncommon, but we have seen it. Often the issue lies in how the project is configured, such as with the use of fancy shaders and high-res textures on high-end devices, which can put extra pressure on the GPU or memory. Sometimes a high-end mobile device or console will use a high-res phone screen or 4K TV output as a selling point but not necessarily have enough GPU power or memory to live up to that promise without further optimization.If you make use of the current versions of the C# Job System, verify whether there’s a job scheduling overhead that scales with the number of worker threads, which in turn, scales with the number of CPU cores. This can result in code that runs more slowly on a 64+ core Threadripper™ than on a modest 4-core or 8-core CPU. This issue will be addressed in future versions of Unity, but in the meantime, try limiting the number of job worker threads by setting JobsUtility.JobWorkerCount.What are some pointers for setting a good frame budget?Most of the time when we talk about frame budgets, we’re talking about the overall time budget for the frame. You calculate 1000/target frames per second (fps) to get your frame budget: 33.33 ms for 30 fps, 16.66 ms for 60 fps, 8.33 ms for 120 Hz, etc. Reduce that number by around 35% if you’re on mobile to give the chips a chance to cool down between each frame. Dividing the budget up to get specific sub-budgets for different features and/or systems is probably overkill except for projects with very specific, predictable systems, or those that make heavy use of Time Slicing.Generally, profiling is the process of finding the biggest bottlenecks – and therefore, the biggest potential performance gains. So rather than saying, “Physics is taking 1.2 ms when the budget only allows for 1 ms,” you might look at a frame and say, “Rendering is taking 6 ms, making it the biggest main thread CPU cost in the frame. How can we reduce that?”It seems like profiling early and often is still not common knowledge. What are your thoughts on why this might be the case?Building, releasing, promoting, and managing a game is difficult work on multiple fronts. So there will always be numerous priorities vying for a developer’s attention, and profiling can fall by the wayside. They know it’s something they should do, but perhaps they’re unfamiliar with the tools and don’t feel like they have time to learn. Or, they don’t know how to fit profiling into their workflows because they’re pushed toward completing features rather than performance optimization.Just as with bugs and technical debt, performance issues are cheaper and less risky to address early on, rather than later in a project’s development cycle. Our focus is on helping to demystify profiling tools and techniques for those developers who are unfamiliar with them. That’s what the profiling e-book and its related blog post and webinar aim to support.Is there a way to exclude certain methods from instrumentation or include only specific methods when using Deep Profiling in the Unity Profiler? When using a lot of async/await tasks, we create large stack traces, but how can we avoid slowing down both the client and the Profiler when Deep Profiling?You can enable Allocation call stacks to see the full call stacks that lead to managed allocations (shown as magenta in the Unity CPU Profiler Timeline view). Additionally, you can – and should! – manually instrument long-running methods and processes by sprinkling ProfilerMarkers throughout your code. There’s currently no way to automatically enable Deep Profiling or disable profiling entirely in specific parts of your application. But manually adding ProfilerMarkers and enabling Allocation call stacks when required can help you dig down into problem areas without having to resort to Deep Profiling.As of Unity 2022.2, you can also use our IgnoredByDeepProfilerAttribute to prevent the Unity Profiler from capturing method calls. Just add the IgnoredByDeepProfiler attribute to classes, structures, and methods.Where can I find more information on Deep Profiling in Unity?Deep Profiling is covered in our Profiler documentation. Then there’s the most in-depth, single resource for profiling information, the Ultimate Guide to profiling Unity games e-book, which links to relevant documentation and other resources throughout.Is it correct that Deep Profiling is only useful for the Allocations Profiler and that it skews results so much that it’s not useful for finding hitches in the game?Deep Profiling can be used to find the specific causes of managed allocations, although Allocation call stacks can do the same thing with less overhead, overall. At the same time, Deep Profiling can be helpful for quickly investigating why one specific ProfilerMarker seems to be taking so long, as it’s more convenient to enable than to add numerous ProfilerMarkers to your scripts and rebuild your game. But yes, it does skew performance quite heavily and so shouldn’t be enabled for general profiling.Is VSync worth setting to every VBlank? My mobile game runs at a very low fps when it’s disabled.Mobile devices force VSync to be enabled at a driver/hardware level, so disabling it in Unity’s Quality settings shouldn’t make any difference on those platforms. We haven’t heard of a case where disabling VSync negatively affects performance. Try taking a profile capture with VSync enabled, along with another capture of the same scene but with VSync disabled. Then compare the captures using Profile Analyzer to try to understand why the performance is so different.How can you determine if the main thread is waiting for the GPU and not the other way around?This is covered in the Ultimate Guide to profiling Unity games. You can also get more information in the blog post, Detecting performance bottlenecks with Unity Frame Timing Manager.Generally speaking, the telltale sign is that the main thread waits for the Render thread while the Render thread waits for the GPU. The specific marker names will differ depending on your target platform and graphics API, but you should look out for markers with names such as “PresentFrame” or “WaitForPresent.”Is there a solid process for finding memory leaks in profiling?Use the Memory Profiler to compare memory snapshots and check for leaks. For example, you can take a snapshot in your main menu, enter your game and then quit, go back to the main menu, and take a second snapshot. Comparing these two will tell you whether any objects/allocations from the game are still hanging around in memory.Does it make sense to optimize and rewrite part of the code for the DOTS system, for mobile devices including VR/AR? Do you use this system in your projects?A number of game projects now make use of parts of the Data-Oriented Technology Stack (DOTS). Native Containers, the C# Job System, Mathematics, and the Burst compilerare all fully supported packages that you can use right away to write optimal, parallelized, high-performance C# (HPC#) code to improve your project’s CPU performance.A smaller number of projects are also using Entities and associated packages, such as the Hybrid Renderer, Unity Physics, and NetCode. However, at this time, the packages listed are experimental, and using them involves accepting a degree of technical risk. This risk derives from an API that is still evolving, missing or incomplete features, as well as the engineering learning curve required to understand Data-Oriented Design (DOD) to get the most out of Unity’s Entity Component System (ECS). Unity engineer Steve McGreal wrote a guide on DOTS best practices, which includes some DOD fundamentals and tips for improving ECS performance.How do you go about setting limits on SetPass calls or shader complexity? Can you even set limits beforehand?Rendering is a complex process and there is no practical way to set a hard limit on the maximum number of SetPass calls or a metric for shader complexity. Even on a fixed hardware platform, such as a single console, the limits will depend on what kind of scene you want to render, and what other work is happening on the CPU and GPU during a frame.That’s why the rule on when to profile is “early and often.” Teams tend to create a “vertical slice” demo early on during production – usually a short burst of gameplay developed to the level of visual fidelity intended for the final game. This is your first opportunity to profile rendering and figure out what optimizations and limits might be needed. The profiling process should be repeated every time a new area or other major piece of visual content is added.Here are additional resources for learning about performance optimization:BlogsOptimize your mobile game performance: Expert tips on graphics and assetsOptimize your mobile game performance: Expert tips on physics, UI, and audio settingsOptimize your mobile game performance: Expert tips on profiling, memory, and code architecture from Unity’s top engineersExpert tips on optimizing your game graphics for consolesProfiling in Unity 2021 LTS: What, when, and howHow-to pagesProfiling and debugging toolsHow to profile memory in UnityBest practices for profiling game performanceE-booksOptimize your console and PC game performanceOptimize your mobile game performanceUltimate guide to profiling Unity gamesLearn tutorialsProfiling CPU performance in Android builds with Android StudioProfiling applications – Made with UnityEven more advanced technical content is coming soon – but in the meantime, please feel free to suggest topics for us to cover on the forum and check out the full roundtable webinar recording.

Reading Time: 9 minutes Email provides a direct, two-way communication line to your target audience, which makes it, in a sense, more social than marketing channels like Instagram, Facebook, and TikTok. However, this doesn’t automatically lead to high open rates or email engagement. You need to know when the best time to send an email is and how often you should send them. Without a well-thought-out schedule, you’ll likely overwhelm your customers’ inboxes. In this post, we’ll discuss email scheduling and cadence best practices, along with the best day and time to send email marketing messages. Let’s jump in.   What is Email Cadence? Email cadence is the ideal frequency and most impactful time for your business to send marketing emails to your subscribers. It’s a process that involves experimentation, testing, and adjustments, as you’ll need to understand your subscribers’ preferences and modify your email schedule accordingly. It matters because it will greatly impact the success of email marketing campaigns, specifically engagement and your relationship with your subscriber list. Send too many emails, and they’ll likely unsubscribe. Get the timing wrong, and you’ll see an impact in your open rates.   The Best Time to Send an Email: By Industry and Day There isn’t a universal email cadence to replicate, as it varies by industry. That said, the best time to send an email is typically at the start of the workday between 8 a.m. and 11 a.m. on weekdays, with Tuesdays and Thursdays being the most effective days. This is why it’s crucial that you dig into the averages for your industry, conveniently set out for you in this table based on the data collected. It’s a good place to start, especially if you’re new to email marketing and don’t have your own data yet. Industry Best Day To Send Emails Best Time To Send Emails Retail and Ecommerce Monday (for conversions) and Sunday (for opens) 10:00 a.m. – 11:00 a.m. and again 7:00 p.m. – 9:00 p.m. Financial  Friday (for conversions) and Sunday (for opens) 8:00 a.m. – 10:00 a.m. and again 2:00 p.m. – 3:00 p.m. Media and entertainment Thursday (for conversions and opens) 12:00 p.m. – 2:00 p.m. and again 5:00 p.m. – 7:00 p.m.   An Ideal Sales Cadence Email Template (by MoEngage) Once you’ve identified the best time to send emails for your industry, you can plan your email marketing campaign around these times. We’ve created this sales cadence email template for a hypothetical brand, StrideGo, a subscription-based fitness app, to help you see how this will look in practice. It shows how to plot out your emails so you can balance frequency with the best times to send an email.   From sales to subscriber re-engagement, there are various ways you can tweak this template to match your campaign goal, as the following examples from well-known B2C brands illustrate.   Email Cadence Examples From Top Brands Some of the best email cadence examples come from brands that have turned email into one of their most effective channels. From limited-time flash sales to regular content updates that help build your brand as a thought leader, here are some ways you can approach email cadence, timing, and content. 1. Grammarly | Flash Sale Campaign goal: Promote a flash sale Grammarly’s email campaign serves as a good example of how to strike the right balance between staying top of mind without becoming an annoyance. The first email succinctly links the offer with their subscribers’ pain point, which increases their chance of opening it. They then wait two days before sending a follow-up email to remind subscribers that the offer will soon end. To capitalize on the powerful effect of urgency, they wait until the day the offer ends to send their final reminder. What this email campaign does well: Grammarly doesn’t solely rely on the massive discount to drive subscriptions. They take it one step further by linking their software with their potential new subscribers’ pain points. It’s a great example of a customer relationship email. 2. Airbnb | Announcing New Updates Source: https://reallygoodemails.com/emails/host-news-updates-to-our-review-policy-new-sustainability-resources-and-more   Campaign goal: Highlight new blog content and product updates Airbnb sends monthly email newsletters that share industry news, product updates, and learning resources. On the surface, it functions as an email newsletter, but it’s also an effective tool for establishing thought leadership. Industry news isn’t as exciting or time-sensitive as sales, so it makes sense for this type of email to be scheduled on a monthly basis only. What this email campaign does well: The newsletter helps to build brand awareness and encourages product discovery. The strategic placement of several calls to action (CTAs) per email also helps to generate website traffic. 3. McDonald’s | Personalized Updates Source: https://reallygoodemails.com/emails/smiles-davis-your-january-account-in-review Campaign goal: Update customers about their loyalty points See how they’re proudly announcing their email marketing cadence? Each month, McDonald’s sends a statement that summarizes loyalty program members’ activity for the past month and current status. It’s an effective tool for engaging their most loyal customers to grow their customer loyalty even further. What this email campaign does well: The personalized content makes regular diners feel special. Plus, the fact that it visualizes how many points they’re away from a reward, along with the only-once-a-month email cadence, serves as good encouragement to visit McDonald’s more often. How? Well, when customers receive the email once a month stating the reward, it serves as a slight nudge to pay a visit in the hope of winning more rewards!   5 Best Practices for Email Marketing Cadence Here are five email cadence best practices that will help you drive noteworthy results for you to replicate (and let you get the best use out of your email cadence tool). 1. Create a Customer Journey Each email marketing campaign should have a specific goal, whether that’s to create brand awareness or drive webinar registrations. Creating and mapping the customer journey will ensure that you know where your target audience typically starts and what type of message they’ll need at which point to move them toward your goal. If you have clarity on the typical steps your target audience takes and their behavior, your email communication will improve the customer experience. Each message will be relevant and valuable. 2. Segment Your List Email preferences differ from one segment to the next. For example, your frequent shoppers generally like to receive regular promotional emails with exclusive deals. On the other hand, occasional buyers would rather receive fewer emails and resonate better with educational emails. Segmenting your email list allows you to send daily emails to those in your most engaged group, while weekly emails are reserved for another group. 3. Personalize Content One of the most crucial email cadence best practices is content personalization. In addition to adjusting your email frequency to your segment’s preferences, you should also tailor the actual content so that it’s relevant to specific recipients. Generic content quickly gets ignored, while location-based product recommendations feel useful. For your email cadence to click, you need recipients to click on the CTAs, and personalized content will encourage engagement. The added benefit of using email personalization is that once your open and click-through rates improve, you can also increase your email frequency. 4. Test and Tweak Like with virtually anything in life, it takes time before you find your rhythm. The same applies to email cadence. A/B testing will allow you to see if your frequency and timing work and give you the data you need to improve your campaigns. You can, for example, send specials to half of your frequent shoppers daily, while the other half receive specials only weekly. Alternatively, you can send the whole segment the same email on the same days at the same time, and then experiment with the best time to send an email. 5. Let Subscribers Select Email Preferences While you still need to do your own rigorous testing, give your email subscribers the option to choose how often they want to receive emails from your brand. It’s as easy as adding a link in your email signature that takes them to a page where they can select which emails they choose to receive. You can even take it one step further and let them choose the frequency by type of message. For example, they might want to hear about deals weekly, while company news is best served only once a month. This also allows them to change the frequency at a later stage, should their needs change. Aside from making your job easier, it also gives your subscribers an alternative to unsubscribing from your emails altogether.   Top 3 Email Cadence Software and Tools There are several great email cadence tools that can automate much of the labor involved in identifying the best time to send an email campaign. Here’s a quick look that highlights the core and unique features of three such software solutions. 1. Best for Cross-Channel Customer Engagement: MoEngage   MoEngage’s enterprise-ready, cross-channel customer engagement platform gives your team the data and insight they need to personalize customer experiences. For help specifically with email cadence, you can use it to design relevant emails that match your customers’ preferences and meet them where they’re at in their journey. What makes it such a unique email cadence tool is its deep focus on customer engagement. It doesn’t just send emails but also helps you understand the why and when behind engagement. For example, it has a “Best Time to Send” feature that uses advanced data analysis to make sense of historical customer interactions. How pricing works: MoEngage keeps pricing simple and flexible by offering only two plans (Growth and Enterprise) and dozens of features available to be purchased as add-ons. What makes it stand out: MoEngage’s impressive predictive capabilities let you tailor your emails to your customers’ next best action, ensuring they receive timely, relevant content time and again. 2. Best for Email Scheduling for Small Businesses: Klaviyo Klaviyo’s marketing automation platform offers tools for email and SMS marketing. With its built-in data platform and drag-and-drop editor, you can easily create customizable templates and send personalized emails. You can, for example, use data like browsing history, past purchases, and subscription status to send relevant and timely updates. It also has a Smart Send Time feature to help specifically with the best time to send an email. How pricing works: Plans start at $45 per month based on features and the number of monthly emails you want to send. What makes it stand out: As it integrates with platforms like Shopify, you can use real-time customer data to personalize your communication. 3. Best for Inbound Marketing: HubSpot HubSpot is an all-in-one solution that businesses can use to attract and engage their target audience across the entire journey. It offers various hubs (like sales, marketing, and operations) built to work together and integrations with more than 1,000 third-party apps that expand its capabilities even further. To help with email cadence, you can check out Cadence, a multi-channel sales prospecting tool available in its app marketplace. It will tell you who to email and allow you to automate sequence steps. How pricing works: Depending on the platform solutions you need, pricing ranges from $15 per month per seat to $4,700 per month per seat for seven seats. What makes it stand out: HubSpot is built around inbound marketing and combines everything you’ll need for lead nurturing to customer support into one interface.   Manage Your Email Cadence With MoEngage When you’re creating your email marketing strategy, you should also plan for the best time to send an email. If you send your email at 4 a.m. on a Saturday, it will only be buried with dozens of other emails when your recipients finally make time to check their inbox. You want to find out at what time your subscribers are most likely going to open their inbox and ensure your email reaches them at this time. In addition to the day and time, you also need to consider the email cadence. Here’s an idea: why not remove the guesswork altogether? With MoEngage’s Best Time to Send (BTS) feature, you can reach out to your customers at just the right moment. What’s more, MoEngage’s AI engine, Sherpa AI, keeps updating the best time to send an email based on changing customer behavior. Want to see this super-cool feature in action? Schedule a 1:1 demo today. The post When is the Best Time to Send an Email? appeared first on MoEngage.

Michael Giannou, Global General Manager, HoneywellMay 29, 20254 Min ReadAndriy Popov via Alamy StockData centers are quickly becoming the backbone of our information-driven world. At the same time, the increasing sophistication of cybersecurity attacks, combined with the growing frequency of extreme climate events, means there is also greater operational risk than ever before, as bad actors have begun targeting cooling centers to purposefully compromise the equipment, causing irreversible loss and damage.  The best defense against these threats is an integrated system centered around situational awareness and security. By taking steps to safeguard key areas, data center operators can enhance the protection of their facility and data, helping prevent costly threats and downtime.  Seeing the Big Picture Developing a comprehensive awareness and monitoring system serves as a critical first step to protecting data centers. This is especially important as data centers begin to welcome more tenants into shared space, requiring vendors to consider each tenant individually and as part of the broader system. A threat to one tenant can quickly become a threat to all tenants. Centralizing all information in one system provides a single location for operators to view and analyze real-time data, allowing them to instantly access critical information, monitor incidents and respond quickly with pre-defined incident workflows. An intelligent system will integrate all security events -- including video recordings, access point clearance and data reporting -- together in one place to reduce coverage gaps and information silos.  Related:Another benefit of having one comprehensive system is the ability to integrate separate aspects of the system to improve response time. For example, a centralized security system could be configured to ensure that any fire or intruder alarm immediately triggers the CCTV cameras in the vicinity of the alarm, so the security team can quickly and efficiently respond to the situation. Close partnering between systems that transcend departments such as security, IT and the management of employees, contractors and visitors is key to protecting the facility and its data, both in low-friction (e.g. office space) and high-friction (e.g. server space) areas.  Addressing the Gaps Once a centralized security system is in place, operators can address the cybersecurity gaps where the data center is most vulnerable to bad actors. A strong, always-on cybersecurity program should be tailored to the specific facility and its compliance needs, often including:  Data encryption: Whether data is stored in the system or just passing through, encryption is key to preventing unauthorized access. A strong encryption process goes beyond thwarting attacks -- it is critical for establishing trust, ensuring the authenticity of data exchanged, guaranteeing the integrity of commands to smart devices and maintaining secrecy where it is needed most.  Related:Network security: Data center operators can help prevent unauthorized access and cyberattacks by developing strong intrusion detection/prevention systems, firewalls and network segmentation. Facility protection: By integrating technologies such as electronic access control, biometrics, CCTV and perimeter detection, operators can maintain security around the physical facility. Security also requires vendors to adhere to standard operating procedures, often overlooked in today’s technology-focused environment, such as enforcing visitor security policies and requiring visitors to have escorts.  Regular audits and updates: It may seem to be a lower priority than the often-urgent concerns set forth above, but out-of-date firmware carries a significant cybersecurity risk. Proactive attention and system maintenance can reduce operating costs in the long run and help avoid costly downtime. Related:Looking Ahead With so many current considerations to focus on, data center operators must also look ahead to future-proof their facility. As quickly as the industry has grown in recent years, the momentum will likely continue to accelerate. One new frontier emerging is quantum security: using quantum-enhanced randomness to deliver truly unpredictable key generation and safeguard sensitive information. This enables the system to develop armor that evolves just as quickly as cybersecurity threats. As the largest companies make significant investment in data centers -- for example, Microsoft’s plan to invest approximately $80 billion in AI-enabled datacenters in FY25 -- many in the industry are watching to see how these companies’ actions and investments shape the future of both data centers and building security overall.  Another forward-looking trend is military-grade solutions entering the commercial and industrial marketplace. It is clear to understand how a system hardened for integrated perimeter security in harsh environments can also fit the security and resilience needs of a data center. In addition, those solutions have often been certified through rigorous testing and evaluation, giving operators confidence their system can withstand almost all third-party attacks.  Finally, the industry will begin to prioritize modularity -- meaning systems that can be added to in the future, will work with third-party solutions and are both user-friendly and energy-efficient. This allows operators to expand their facilities to include the latest and greatest technology without a costly overhaul of their existing infrastructure. By integrating with their business systems and leaning into wider stakeholder influence, organizations can more effectively monitor and manage their facilities using modular systems. Cybersecurity risks can never truly be considered resolved -- it is constantly evolving. But by continuously revisiting the areas detailed above, data center operators can enhance their facility and systems protections, helping to protect their data now and in the future.  About the AuthorMichael GiannouGlobal General Manager, HoneywellMichael Giannou is a global sales executive with over 15 years of experience leading high-performing teams and driving growth in the data center and technology sectors. As Global General Manager of Data Centers at Honeywell, he built and led a global sales team, delivering double-digit growth and now leads the company’s global data center vertical. Previously, at Schneider Electric, he grew division sales from $70M to $350M over six years. Known for transforming underperforming programs and developing trusted customer relationships, Michael is a strategic, growth-focused leader passionate about mentoring enterprise sales professionals.  See more from Michael GiannouWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like