Posted on : June 3, 2025 By Tech World Times Technology  Rate this post This article walks you through five practical steps to implement network segmentation effectively, backed by real-world use cases that showcase its value in different industries. Networks are constantly expanding across offices, cloud services, remote users, and connected devices. With so many moving parts, security gaps can easily form. Once attackers breach a weak point, they often move freely across the network, targeting critical systems and sensitive data. That’s where network segmentation comes in. It’s a practical approach to divide your network into smaller, manageable zones to control access, limit exposure, and isolate threats before they spread. But simply deploying VLANs or access rules isn’t enough. True segmentation needs planning, alignment with your business, and the right mix of technology. Step 1: Assess and Map Your Current Network Start by figuring out what’s on your network and how it communicates. Inventory Devices and Applications: List all system servers, user machines, IoT devices, cloud assets. Map Data Flows: Understand how applications and services interact. Which systems talk to each other? What ports and protocols are used? Identify Critical Assets: Highlight the systems that handle sensitive data, such as payment processing, health records, or intellectual property. Tip: Network discovery tools or NAC solutions can automate asset inventory and reveal communication paths you might miss. Step 2: Define Segmentation Goals and Policies Once you understand your environment, it’s time to set your objectives. Security Objectives: Do you want to reduce lateral movement, isolate sensitive systems, or meet a compliance mandate? Business Alignment: Segment by business unit, sensitivity of data, or risk profile-whatever makes the most operational sense. Compliance Requirements: PCI DSS, HIPAA, and other standards often require network segmentation. Example: A healthcare provider might create separate zones for patient records, lab equipment, guest Wi-Fi, and billing systems. Step 3: Choose the Right Segmentation Method Segmentation can be done in several ways. The right approach depends on your infrastructure goals and types: a. Physical Segmentation Use separate routers, switches, and cables. This offers strong isolation but can be costly and harder to scale. b. Logical Segmentation (VLANs/Subnets) Group devices into virtual segments based on function or department. It’s efficient and easier to manage in most environments. c. Micro segmentation Control access at the workload or application level using software-defined policies. Ideal for cloud or virtualized environments where you need granular control. d. Cloud Segmentation In the cloud, segmentation happens using security groups, VPCs, and IAM roles to isolate workloads and define access rules. Use a combination- VLANs for broader segmentation and micro segmentation for finer control where it matters. Step 4: Implement Controls and Monitor Traffic Time to put those policies into action. Firewalls and ACLs: Use access controls to manage what can move between zones. Block anything that isn’t explicitly allowed. Zero Trust Principles: Never assume trust between segments. Always validate identity and permissions. Monitoring and Alerts: Use your SIEM, flow monitoring tools, or NDR platform to watch for unusual traffic or policy violations. Common Pitfall: Avoid “allow all” rules between segments, it defeats the purpose. Step 5: Test, Validate, and Fine-Tune Even a well-designed segmentation plan can have gaps. Regular validation helps ensure it works as expected. Penetration Testing: Simulate attacks to check if boundaries hold. Review Policies: Business needs to change your segmentation strategy too. Performance Monitoring: Make sure segmentation doesn’t impact legitimate operations or application performance. Automation tools can help simplify this process and ensure consistency. Real-World Use Cases of Network Segmentation 1. Healthcare – Protecting Patient Data and Devices Hospitals use segmentation to keep medical devices, patient records, and visitor Wi-Fi on separate zones. This prevents an infected guest device from interfering with critical systems. Result: Reduced attack surface and HIPAA compliance. 2. Manufacturing – Isolating Industrial Systems Production environments often have fragile legacy systems. Segmenting OT (Operational Technology) from IT ensures ransomware or malware doesn’t disrupt manufacturing lines. Result: More uptime and fewer operational risks. 3. Finance – Securing Payment Systems Banks and payment providers use segmentation to isolate cardholder data environments (CDE) from the rest of the corporate network. This helps meet PCI DSS and keeps sensitive data protected. Result: Easier audits and stronger data security. 4. Education – Managing High-Volume BYOD Traffic Universities segment student Wi-Fi, research labs, and administrative systems. This keeps a vulnerable student device from spreading malware to faculty or internal systems. Result: Safer environment for open access campuses. 5. Cloud – Segmenting Apps and Microservices In the cloud, developers use security groups, VPCs, and IAM roles to isolate applications and limit who can access what. This reduces risk if one workload is compromised. Result: Controlled access and better cloud hygiene. Common Challenges Legacy Tech: Older devices may not support modern segmentation. Lack of Visibility: Hard to secure what you don’t know exists. Operational Hiccups: Poorly planned segmentation can block business workflows. Policy Complexity: Keeping access rules up to date across dynamic environments takes effort. Best Practices Start with High-Risk Areas: Prioritize zones handling sensitive data or vulnerable systems. Keep Documentation Updated: Maintain clear diagrams and policy records. Align Teams: Get buy-in from IT, security, and business units. Automate Where You Can: Especially for monitoring and policy enforcement. Review Regularly: Networks evolve- so should your segmentation. Final Thoughts Segmentation isn’t about creating walls it’s about building smart pathways. Done right, it helps you take control of your network, reduce risk, and respond faster when something goes wrong. It’s a foundational layer of cybersecurity that pays off in resilience, compliance, and peace of mind. About the Author: Prajwal Gowda is a cybersecurity expert with 10+ years of experience. He has built businesses and was a Business Unit Head for Compliance and Testing services. Currently, he is the Chief Technology Officer at Ampcus Cyber, leading the company’s technology strategy and innovation efforts. He has also been involved in the Payment Card Industry, Software Security Framework, ISO 27001 Controls Gap Analysis, ISMS, Risk Analysis, OCTAVE, ISO 27005, Information Security Audit and Network Security. Prajwal is a Master Trainer who has conducted 100+ cybersecurity training sessions worldwide. 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

Nearly two decades ago, scientists made an alarming discovery in upstate New York: Bats, the world’s only flying mammal, were becoming infected with a new, deadly fungal disease that, in some cases, could wipe out an entire colony in a matter of months. Since then, the disease — later called white-nose syndrome — has spread across much of the country, utterly decimating North American bats that hibernate in caves and killing over 90 percent of three bat species. According to some scientists, WNS has caused “the most precipitous wildlife decline in the past century in North America.” These declines have clear consequences for human populations — for you, even if you don’t like bats or visit caves. Bats eat insect pests, such as moths and beetles. And as they decline, farmers need to spray more pesticides. Scientists have linked the loss of bats in the US to an increase in insecticide use on farmland and, remarkably, to a rise in infant deaths. Insecticide chemicals are known to harm the health of newborns. The only reason we know any of this is because of a somewhat obscure government program in the US Geological Survey (USGS), an agency nested within the Interior Department. That program, known as the Ecosystems Mission Area (EMA), is the biological research division of Interior. Among other functions, it monitors environmental contaminants, the spread of invasive species, and the health of the nation’s wildlife, including bees, birds, and bats.White-nose syndrome, a fungal disease, has caused massive declines in a handful of bat species, including the tricolored bat, shown here in flight. J. Scott Altenbach/Bat Conservation InternationalThe Ecosystems Mission Area, which has around 1,200 employees, produces the premier science revealing how animals and ecosystems that Americans rely on are changing and what we can do to keep them intact — or risk our own health and economy. This program is now at an imminent risk of disappearing.Send us a confidential tipAre you a current or former federal employee with knowledge about the Trump administration’s attacks on wildlife protections? Reach out to Vox environmental correspondent Benji Jones on Signal at benji.90 or at benji.jones@vox.com or at benjijones@protonmail.com.In the White House’s 2026 budget request, the Trump administration asked Congress to slash funding for EMA by about 90 percent, from $293 million in 2025 to $29 million next year. Such cuts are also in line with Project 2025, the Heritage Foundation’s conservative policy roadmap, which calls for the government to “abolish” Interior’s Biological Resources Division, an outdated name for the Ecosystems Mission Area.Meanwhile, the Trump administration is also reportedly trying to fire government employees in the Ecosystems Mission Area, though a federal judge has so far blocked those efforts. Eliminating biological research is not good. In fact, it’s very bad.For a decade now, EMA’s North American Bat Monitoring Program, or NABat, has been gathering and analyzing data on bats and the threats they face. NABat produces research using data from hundreds of partner organizations showing not only how white-nose syndrome is spreading — which scientists are using to develop and deploy vaccines — but also how bats are affected by wind turbines, another known threat. Energy companies can and do use this research to develop safer technologies and avoid delays caused by wildlife regulations, such as the Endangered Species Act. The irony, an Interior Department employee told me, is that NABat makes wildlife management more efficient. It also helps reveal where declines are occurring before they become severe, potentially helping avoid the need to grant certain species federal protection — something the Trump administration would seem to want. The employee, who’s familiar with Interior’s bat-monitoring efforts, spoke on the condition of anonymity for fear of retaliation by the Trump administration. A northern long-eared bat with white-nose syndrome. Steve Taylor/University of IllinoisA dead bat infected with white-nose syndrome under UV light. USGS“If they want to create efficiencies in the government, they should ask us,” another Interior employee told Vox. “The damage that can be done by one administration takes decades to rebuild.”In response to a request for comment, an Interior Department spokesperson told Vox that “USGS remains committed to its congressional mandate as the science arm of the Department of the Interior.” The White House did not respond to a request for comment. In a Senate appropriations hearing last week, Interior Secretary Doug Burgum refused to commit to maintaining funding for EMA.“There’s no question that they don’t know what EMA does,” said a third Interior employee, who has knowledge of the Ecosystems Mission Area.Ultimately, it’s not clear why the administration has targeted Interior’s biological research. EMA does, however, do climate science, such as studying how plants and animals are responding to rising temperatures. That’s apparently a no-go for the Trump administration. It also gathers information that sometimes indicates that certain species need federal protections, which come with regulations (also a no-go for President Donald Trump’s agenda).What’s especially frustrating for environmental advocates is that NABat, now 10 years old, is starting to hit its stride.“We should be celebrating the 10-year anniversary of this very successful program that started from scratch and built this robust, vibrant community of people all collecting data,” said Winifred Frick, the chief scientist at Bat Conservation International, an environmental group. “We have 10 years of momentum, and so to cut it off now sort of wastes all that investment. That feels like a tremendous loss.” Meanwhile, the cost of maintaining the program is less than 1 percent of Interior’s overall budget.The government’s wildlife monitoring programs are “jewels of the country,” said Hollis Woodard, an associate professor of entomology at University of California Riverside who works with USGS on bee monitoring. “These birds and bats perform services for us that are important for our day-to-day lives. Literally everything I value, including food, comes down to keeping an eye on these populations. The idea that we’re just going to wipe them out is just terrifying.”Update, June 2, 12:58 pm ET: This article was originally published on May 29, 2025, and has been updated to include newly public details on the 2026 White House budget request.See More:

Key Takeaways Dell and Nvidia will together provide architecture for the next set of supercomputers, named Doudna, for the US Department of Energy. Dell will focus more on sustainable hardware and cooling systems, while Nvidia will provide its AI architecture, including the Vera Rubin AI chips. The US Department of Energy wants to focus more on the sustainable development of AI, hence the choice of environment-conscious companies. The US Department of Energy said that Dell’s next batch of supercomputers will be delivered with Nvidia’s ‘Vera Rubin’ AI chips, marking the beginning of a new era of AI dominance in research. The said systems are expected to be 10x faster than the current batch of supercomputers, which HP provided. The supercomputer will be named ‘Doudna,’ after Jennifer Doudna, a Nobel Prize winner who made key contributions in CRISPR gene-editing. Supercomputers have been instrumental in key scientific discoveries in the last few decades and also played a big role in the design and maintenance of the U.S. nuclear weapons arsenal. And now, with the introduction of artificial intelligence, we’re heading towards a new decade of faster and more efficient scientific research. It (supercomputers) is the foundation of scientific discovery for our country. It is also a foundation for economic and technological leadership. And with that, national security – Nvidia CEO, Jensen Huang Dell Going All in on AI This isn’t the first time Dell and Nvidia have come together to develop newer AI solutions. Back in March 2024, Dell announced the Dell AI Factory with NVIDIA, an end-to-end enterprise AI solution designed for businesses.  This joint venture used Dell’s infrastructure, such as servers, storage, and networking, combined with NVIDIA’s AI architecture and technologies such as GPUs, DPUs, and AI software. Image Credit – Dell For instance, the Dell PowerEdge server uses NVIDIA’s full AI stack to provide enterprises with solutions required for a wide range of AI applications, including speech recognition, cybersecurity, recommendation systems, and language-based services. The demand for Dell’s AI servers has also increased, reaching $12.1B in the first quarter of 2025, with a total backlog of $14.4B, which suggests a strong future demand and order book. The company has set a bold profit forecast between $28.5B and $29.5B, as against the analysts’ prediction of $ 25.05 B. With Doudna, Dell is well-positioned to lead the next generation of supercomputers in AI research, invention, and discoveries. Focus on Energy Efficiency Seagate has warned about the unprecedented increase in demand for AI data storage in the coming few years, which is a significant challenge to the sustainability of AI data centers. Global data volume is expected to increase threefold by 2028.  Image Credit – DIGITIMES Asian The data storage industry currently produces only 1-2 zettabytes (1 zettabyte equals 1 trillion gigabytes) of storage annually, which is much lower than what would be required in the next 4-5 years. At the same time, Goldman Sachs predicts that power requirements will also go up by 165% by 2030 due to increasing demand for AI data centers. This calls for a more sustainable approach for the supercomputing industry as well.  Dell will use its proprietary technologies, such as Direct Liquid Cooling, the PowerCool eRDHx, and Smart Flow design in the Doudna, ensuring energy efficiency. Direct Liquid Cooling (DLC) increased computing density by supporting more cores per rack, which reduces cooling costs by as much as 45%. Dell’s PowerCool eRDHx is a self-contained airflow design that can capture 100% of the heat generated by IT systems. This reduces the dependency on expensive chillers, as eRDHx can work in usual temperatures of 32 and 36 degrees Celsius, leading to 60% savings in cooling energy costs. Lastly, the Dell Smart Flow design improves airflow within IT components and reduces the fan power by 52%. This leads to better performance with fewer cooling requirements. Besides this, Dell plans to incorporate Leak Sense Technology. If a coolant leak occurs, the system’s leak sensor will log an alert in the iDRAC system so that swift action can be taken. As per a report titled ‘Energy and AI’ by the IEA, the data center electricity demand will increase to 945 terawatt-hours (TWh) by 2030. For comparison, this is more than the total electricity consumption of Japan today. The US alone will consume more electricity in 2030 for processing data than for manufacturing all energy-intensive goods combined, including aluminum, steel, cement, and chemicals. Therefore, the need to develop sustainable AI data centers and supercomputers cannot be highlighted enough. Dell’s technology-focused, sustainable approach can be a pivotal point in how efficiently we use AI in the next decade. The US Department of Energy’s choice of Dell also seems to be a conscious move to shift towards companies that give importance to sustainability and can vouch for the long-term viability of research-intensive AI setups. Krishi is a seasoned tech journalist with over four years of experience writing about PC hardware, consumer technology, and artificial intelligence.  Clarity and accessibility are at the core of Krishi’s writing style. He believes technology writing should empower readers—not confuse them—and he’s committed to ensuring his content is always easy to understand without sacrificing accuracy or depth. Over the years, Krishi has contributed to some of the most reputable names in the industry, including Techopedia, TechRadar, and Tom’s Guide. A man of many talents, Krishi has also proven his mettle as a crypto writer, tackling complex topics with both ease and zeal. His work spans various formats—from in-depth explainers and news coverage to feature pieces and buying guides.  Behind the scenes, Krishi operates from a dual-monitor setup (including a 29-inch LG UltraWide) that’s always buzzing with news feeds, technical documentation, and research notes, as well as the occasional gaming sessions that keep him fresh.  Krishi thrives on staying current, always ready to dive into the latest announcements, industry shifts, and their far-reaching impacts.  When he's not deep into research on the latest PC hardware news, Krishi would love to chat with you about day trading and the financial markets—oh! And cricket, as well. View all articles by Krishi Chowdhary Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.

One of Elon Musk's austerity operatives discovered that the government had far less glut than he'd banked on — and tellingly, admitting as much publicly got him fired.Sahil Lavingia, a tech founder and erstwhile software engineer with Musk's Department of Government Efficiency (DOGE), revealed in a recent blog post that he had "got[ten] the boot" from the agency after telling Fast Company last month that the federal workforce had turned out to be way more efficient than he anticipated.In that initial interview, the Gumroad founder said he was impressed to find that his coworkers at the Department of Veterans Affairs "love their jobs" and worked hard at them — an honest admission that seems to have cost him his job.Just a day after the FastCo interview was published, Lavigina found that his "access" — to the VA's computer networks, presumably — had been "revoked without warning.""My DOGE days," the jilted techie wrote, "were over."Lavigina also revealed in the blog post, which detailed his 50-day tenure at the agency, that he didn't end up getting much done — a slap in the face to the agency's mandate to save taxpayer dollars and abolish the "tyranny of bureaucracy," as Musk put it earlier this year."I didn't make any progress on improving the [user experience] of veterans' filing disability claims or automating/speeding up claims processing, like I had hoped to when I started," the former DOGE staffer lamented. "I built several prototypes, but was never able to get approval to ship anything to production that would actually improve American lives — while also saving money for the American taxpayer."He also suggested that DOGE staffers were more like middle managers than actual workers."DOGE was more like having McKinsey volunteers embedded in agencies rather than the revolutionary force I'd imagined," the fired engineer recounted in reference to the McKinsey Corporation, the management consulting firm that allegedly fixed bread pricesformerly employed presidential candidate Pete Buttigieg."The public was seeing news reports of mass firings that seemed cruel and heartless, many assuming DOGE was directly responsible," he continued. "In reality, DOGE had no direct authority. The real decisions came from the agency heads appointed by President Trump, who were wise to let DOGE act as the 'fall guy' for unpopular decisions."It sounds a lot like DOGE jobs are the ultimate a waste of time and taxpayer money — though thankfully, Lavigina volunteered to work there for free.Share This Article

Console's mission is to help IT teams reduce mundane, repetitive tasks, thereby freeing up time for help desk professionals to work on more strategic and sophisticated projects.

The complex and consequential antitrust trial against Google and its search engine practices recently heard its closing arguments, and the tech giant is already planning to appeal. In a post made on X, Google confirmed it would file an appeal, explai

JDC Events and Lexipol Media Group announce strategic partnership to host Equipped MidAtlantic Technology Summit 2025  Police1

In a chilling sign of how far law enforcement surveillance has encroached on personal liberties, that a sheriff’s office in Texas searched data from more than 83,000 automated license plate reader (ALPR) cameras to track down a woman suspected of self-managing an abortion. The officer searched 6,809 different camera networks maintained by surveillance tech company Flock Safety, including states where abortion access is protected by law, such as Washington and Illinois. The search record listed the reason plainly: “had an abortion, search for female.” Screenshot of data After the U.S. Supreme Court’s 2022 Dobbs v. Jackson Women’s Health Organization decision overturned Roe v. Wade, states were given sweeping authority to ban and even criminalize abortion. In Texas—where the officer who conducted this search is based—abortion is now almost entirely banned. But in Washington and Illinois, where many of the searched Flock cameras are located, abortion remains legal and protected as a fundamental right up to fetal viability. The post-Dobbs legal landscape has also opened the door for law enforcement to exploit virtually any form of data—license plates, phone records, geolocation data—to pursue individuals across state lines. has documented more than 1,800 agencies have deployed ALPRs, but at least 4,000 agencies are able to run searches through some agencies in Flock's network. Many agencies share the data freely with other agencies across the country, with little oversight, restriction, or even standards for accessing data.  While this particular data point explicitly mentioned an abortion, scores of others in the audit logs released through public records requests simply list "investigation" as the reason for the plate search, with no indication of the alleged offense. That means other searches targeting someone for abortion, or another protected right in that jurisdiction, could be effectively invisible. This case underscores our growing concern: that the mass surveillance infrastructure—originally sold as a tool to find stolen cars or missing persons—is now being used to target people seeking reproductive healthcare. This unchecked, warrant-less access that allows law enforcement to surveil across state lines blurs the line between “protection” and persecution. From Missing Cars to Monitoring Bodies EFF has long warned about the dangers of ALPRs, which scan license plates, log time and location data, and build a detailed picture of people's movements. Companies like Flock Safety and Motorola Solutions offer law enforcement agencies access to nationwide databases of these readers, and in some cases, allow them to stake out locations like abortion clinics, or create “hot lists” of license plates to track in real time. Flock's technology also allows officers to search for a vehicle based on attributes like color, make and model, even without a plate number. The threat is compounded by how investigations often begin. A report published by If/When/How on the criminalization of self-managed abortion found that about a quarter of adult cases (26%) were reported to law enforcement by acquaintances entrusted with information, such as “friends, parents, or intimate partners” and another 18% through “other” means. This means that with ALPR tech, a tip from anyone can instantly escalate into a nationwide manhunt. And as Kate Bertash of the Digital Defense Fund explained to 404 Media, anti-abortion activists have long been documenting the plates of patients and providers who visit reproductive health facilities—data that can now be easily cross-referenced with ALPR databases. The 404 Media report proves that this isn’t a hypothetical concern. In 2023, a months-long EFF investigation involving hundreds of public records requests uncovered that many California police departments were sharing records containing detailed driving profiles of local residents with out-of-state agencies, despite state laws explicitly prohibiting this. This means that even in so-called “safe” states, your data might end up helping law enforcement in Texas or Idaho prosecute you—or your doctor.  That’s why we demanded that 75 California police departments stop sharing ALPR data with anti-abortion states, an effort that has largely been successful. Surveillance and Reproductive Freedom Cannot Coexist We’ve said it before, and we’ll say it again: Lawmakers who support reproductive rights must recognize that abortion access and mass surveillance are incompatible.  The systems built to track stolen cars and issue parking tickets have become tools to enforce the most personal and politically charged laws in the country. What began as a local concern over privacy has escalated into a national civil liberties crisis. Yesterday’s license plate readers have morphed into today’s reproductive dragnet. Now, it’s time for decisive action. Our leaders must roll back the dangerous surveillance systems they've enabled. We must enact strong, enforceable state laws to limit data sharing, ensure proper oversight, and dismantle these surveillance pipelines before they become the new normal–or even just eliminate the systems altogether.

As his time in DC disintegrated this week, Musk intimated to the Washington Post that he was very surprised by what he saw in American government — but not as surprised as he was by everyone's reaction."The federal bureaucracy situation is much worse than I realized," the billionaire told the newspaper. "I thought there were problems, but it sure is an uphill battle trying to improve things in DC, to say the least."That "uphill battle" apparently included getting people on board with his Department of Government Efficiency (DOGE), the cost-cutting agency that Musk was seemingly gifted in exchange for his help getting Donald Trump elected.While the boy-brained billionaire wasn't exactly popular before his debut in American politics, he and his agency have become downright detested in 2025. From its iffy mandate and its enormous failure to reach its savings goals to its massive professional and competence breaches, DOGE has been a major dud — and Musk's companies are bearing the brunt.But ask Musk, and he has no idea why everybody is so mad. As he told it to WaPo, the agency mysteriously became the "whipping boy for everything.""Something bad would happen anywhere," Musk said, "and we would get blamed for it even if we had nothing to do with it."Despite his attempts at a breezy reboot this week, it's clear the uber-wealthy memelord is aware that the public hates him and his politics — but the alleged "free speech absolutist" can't seem to figure out why people would want to take their righteous anger out on his company's cars."People were burning Teslas," he lamented. "Why would you do that? That’s really uncool."This isn't the first time Musk has searched around dumbfounded, like a confused John Travolta in "Pulp Fiction," looking for the reason people are taking their anger out Teslas.In March, the world's sometimes-richest man took to the social network he purchased to claim that an "investigation" had found five individuals, along with a liberal-leaning fundraising platform, were behind the widespread protests against his electric vehicle company.He didn't acknowledge, of course, the crux of those protests: that even Republicans and former fanboys consider the mass firing of civil servants toxic, and that his own poor approval ratings were bringing down Trump's.Despite his unceremonious exit from government, DOGE's work will go on in Musk's stead, and the agency will soon be "tackling projects with the highest gain for the pain, which still means a lot of good things in terms of reducing waste and fraud."Today in Washington, as in South Texas, it's business as usual as the White House prepares to send a new slew of DOGE cuts to Congress in a spending bill and SpaceX launches more than two dozen Starlink satellites aboard a Falcon 9 rocket.Life in DC has gone on after Musk has left the building — not with a bang, but with a whimper.More on Musk: You Can Suddenly Sense Elon Musk's DesperationShare This Article

Amazon hasn't yet released a full list of what's coming to Prime Video in June, but we do know what original titles are slated to premiere throughout the month. Prime original action comedy Deep Cover (June 12) has a stacked cast that includes Bryce Dallas Howard, Orlando Bloom, Nick Mohammed, and Sean Bean. In the film, Howard plays an improv comedy teacher who recruits two of her students (played by Bloom and Mohammed) to infiltrate London's gangs by pretending to be criminals. Countdown (June 25) is a new crime thriller series from Chicago Fire showrunner Derek Haas. An LAPD detective is recruited to a secret task force to investigate the murder of a Department of Homeland Security officer. And We Were Liars (June 18) is a psychological thriller series based on the titular novel by E. Lockhart, the plot of which follows the wealthy Sinclair family and the events of summer on their private island. Finally, there's sports doc American Thunder: NASCAR to Le Mans (June 12), which chronicles the journey to bring the American stock car Chevrolet Camaro to the 24 Hours of Le Mans. Here are the originals coming to Prime Video in June.What’s coming to Prime Video in June 2025 Available June 12American Thunder: NASCAR to Le MansDeep CoverAvailable June 15The Chosen: Last SupperAvailable June 18We Were LiarsAvailable June 23Head Over HeelsAvailable June 25CountdownAvailable June 27Marry My Husband