• Oh, IMAX, the grand illusion of reality turned up to eleven! Who knew that watching a two-hour movie could feel like a NASA launch, complete with a symphony of surround sound that could wake the dead? For those who haven't had the pleasure, IMAX is not just a cinema; it’s an experience that makes you feel like you’re inside the movie—right before you realize you’re just trapped in a ridiculously oversized chair, too small for your popcorn bucket.

    Let’s talk about those gigantic screens. You know, the ones that make your living room TV look like a postage stamp? Apparently, the idea is to engulf you in the film so much that you forget about the existential dread of your daily life. Because honestly, who needs a therapist when you can sit in a dark room, surrounded by strangers, with a screen larger than your future looming in front of you?

    And don’t get me started on the “revolutionary technology.” IMAX is synonymous with larger-than-life images, but let's face it—it's just fancy pixels. I mean, how many different ways can you capture a superhero saving the world at this point? Yet, somehow, they manage to convince us that we need to watch it all in the world’s biggest format, because watching it on a normal screen would be akin to watching it through a keyhole, right?

    Then there’s the sound. IMAX promises "the most immersive audio experience." Yes, because nothing says relaxation like feeling like you’re in the middle of a battle scene with explosions that could shake the very foundations of your soul. You know, I used to think my neighbors were loud, but now I realize they could never compete with the sound of a spaceship crashing at full volume. Thanks, IMAX, for redefining the meaning of “loud neighbors.”

    And let’s not forget the tickets. A small mortgage payment for an evening of cinematic bliss! Who needs to save for retirement when you can experience the thrill of a blockbuster in a seat that costs more than your last three grocery bills combined? It’s a small price to pay for the opportunity to see your favorite actors’ pores in glorious detail.

    In conclusion, if you haven’t yet experienced the wonder that is IMAX, prepare yourself for a rollercoaster of emotions and a potential existential crisis. Because nothing says “reality” quite like watching a fictional world unfold on a screen so big it makes your own life choices seem trivial. So, grab your credit card, put on your 3D glasses, and let’s dive into the cinematic abyss of IMAX—where reality takes a backseat, and your wallet weeps in despair.

    #IMAX #CinematicExperience #RealityCheck #MovieMagic #TooBigToFail
    Oh, IMAX, the grand illusion of reality turned up to eleven! Who knew that watching a two-hour movie could feel like a NASA launch, complete with a symphony of surround sound that could wake the dead? For those who haven't had the pleasure, IMAX is not just a cinema; it’s an experience that makes you feel like you’re inside the movie—right before you realize you’re just trapped in a ridiculously oversized chair, too small for your popcorn bucket. Let’s talk about those gigantic screens. You know, the ones that make your living room TV look like a postage stamp? Apparently, the idea is to engulf you in the film so much that you forget about the existential dread of your daily life. Because honestly, who needs a therapist when you can sit in a dark room, surrounded by strangers, with a screen larger than your future looming in front of you? And don’t get me started on the “revolutionary technology.” IMAX is synonymous with larger-than-life images, but let's face it—it's just fancy pixels. I mean, how many different ways can you capture a superhero saving the world at this point? Yet, somehow, they manage to convince us that we need to watch it all in the world’s biggest format, because watching it on a normal screen would be akin to watching it through a keyhole, right? Then there’s the sound. IMAX promises "the most immersive audio experience." Yes, because nothing says relaxation like feeling like you’re in the middle of a battle scene with explosions that could shake the very foundations of your soul. You know, I used to think my neighbors were loud, but now I realize they could never compete with the sound of a spaceship crashing at full volume. Thanks, IMAX, for redefining the meaning of “loud neighbors.” And let’s not forget the tickets. A small mortgage payment for an evening of cinematic bliss! Who needs to save for retirement when you can experience the thrill of a blockbuster in a seat that costs more than your last three grocery bills combined? It’s a small price to pay for the opportunity to see your favorite actors’ pores in glorious detail. In conclusion, if you haven’t yet experienced the wonder that is IMAX, prepare yourself for a rollercoaster of emotions and a potential existential crisis. Because nothing says “reality” quite like watching a fictional world unfold on a screen so big it makes your own life choices seem trivial. So, grab your credit card, put on your 3D glasses, and let’s dive into the cinematic abyss of IMAX—where reality takes a backseat, and your wallet weeps in despair. #IMAX #CinematicExperience #RealityCheck #MovieMagic #TooBigToFail
    IMAX : tout ce que vous devez savoir
    IMAX est mondialement reconnu pour ses écrans gigantesques, mais cette technologie révolutionnaire ne se limite […] Cet article IMAX : tout ce que vous devez savoir a été publié sur REALITE-VIRTUELLE.COM.
    Like
    Love
    Wow
    Sad
    Angry
    303
    1 Comments 0 Shares
  • Deepfake Defense in the Age of AI







    May 13, 2025The Hacker NewsAI Security / Zero Trust

    The cybersecurity landscape has been dramatically reshaped by the advent of generative AI. Attackers now leverage large language models (LLMs) to impersonate trusted individuals and automate these social engineering tactics at scale.
    Let's review the status of these rising attacks, what's fueling them, and how to actually prevent, not detect, them.
    The Most Powerful Person on the Call Might Not Be Real
    Recent threat intelligence reports highlight the growing sophistication and prevalence of AI-driven attacks:

    Voice Phishing Surge: According to CrowdStrike's 2025 Global Threat Report, there was a 442% increase in voice phishing (vishing) attacks between the first and second halves of 2024, driven by AI-generated phishing and impersonation tactics.
    Social Engineering Prevalence: Verizon's 2025 Data Breach Investigations Report indicates that social engineering remains a top pattern in breaches, with phishing and pretexting accounting for a significant portion of incidents
    North Korean Deepfake Operations: North Korean threat actors have been observed using deepfake technology to create synthetic identities for online job interviews, aiming to secure remote work positions and infiltrate organizations.

    In this new era, trust can't be assumed or merely detected. It must be proven deterministically and in real-time.
    Why the Problem Is Growing
    Three trends are converging to make AI impersonation the next big threat vector:

    AI makes deception cheap and scalable: With open-source voice and video tools, threat actors can impersonate anyone with just a few minutes of reference material.
    Virtual collaboration exposes trust gaps: Tools like Zoom, Teams, and Slack assume the person behind a screen is who they claim to be. Attackers exploit that assumption.
    Defenses generally rely on probability, not proof: Deepfake detection tools use facial markers and analytics to guess if someone is real. That's not good enough in a high-stakes environment.

    And while endpoint tools or user training may help, they're not built to answer a critical question in real-time: Can I trust this person I am talking to?
    AI Detection Technologies Are Not Enough
    Traditional defenses focus on detection, such as training users to spot suspicious behavior or using AI to analyze whether someone is fake. But deepfakes are getting too good, too fast. You can't fight AI-generated deception with probability-based tools.
    Actual prevention requires a different foundation, one based on provable trust, not assumption. That means:

    Identity Verification: Only verified, authorized users should be able to join sensitive meetings or chats based on cryptographic credentials, not passwords or codes.
    Device Integrity Checks: If a user's device is infected, jailbroken, or non-compliant, it becomes a potential entry point for attackers, even if their identity is verified. Block these devices from meetings until they're remediated.
    Visible Trust Indicators: Other participants need to see proof that each person in the meeting is who they say they are and is on a secure device. This removes the burden of judgment from end users.

    Prevention means creating conditions where impersonation isn't just hard, it's impossible. That's how you shut down AI deepfake attacks before they join high-risk conversations like board meetings, financial transactions, or vendor collaborations.



    Detection-Based Approach
    Prevention Approach




    Flag anomalies after they occur
    Block unauthorized users from ever joining


    Rely on heuristics & guesswork
    Use cryptographic proof of identity


    Require user judgment
    Provide visible, verified trust indicators



    Eliminate Deepfake Threats From Your Calls
    RealityCheck by Beyond Identity was built to close this trust gap inside collaboration tools. It gives every participant a visible, verified identity badge that's backed by cryptographic device authentication and continuous risk checks.
    Currently available for Zoom and Microsoft Teams (video and chat), RealityCheck:

    Confirms every participant's identity is real and authorized
    Validates device compliance in real time, even on unmanaged devices
    Displays a visual badge to show others you've been verified

    If you want to see how it works, Beyond Identity is hosting a webinar where you can see the product in action. Register here!

    Found this article interesting? This article is a contributed piece from one of our valued partners. Follow us on Twitter  and LinkedIn to read more exclusive content we post.



    SHARE










    المصدر: https://thehackernews.com/2025/05/deepfake-defense-in-age-of-ai.html
    Deepfake Defense in the Age of AI
    May 13, 2025The Hacker NewsAI Security / Zero Trust The cybersecurity landscape has been dramatically reshaped by the advent of generative AI. Attackers now leverage large language models (LLMs) to impersonate trusted individuals and automate these social engineering tactics at scale. Let's review the status of these rising attacks, what's fueling them, and how to actually prevent, not detect, them. The Most Powerful Person on the Call Might Not Be Real Recent threat intelligence reports highlight the growing sophistication and prevalence of AI-driven attacks: Voice Phishing Surge: According to CrowdStrike's 2025 Global Threat Report, there was a 442% increase in voice phishing (vishing) attacks between the first and second halves of 2024, driven by AI-generated phishing and impersonation tactics. Social Engineering Prevalence: Verizon's 2025 Data Breach Investigations Report indicates that social engineering remains a top pattern in breaches, with phishing and pretexting accounting for a significant portion of incidents North Korean Deepfake Operations: North Korean threat actors have been observed using deepfake technology to create synthetic identities for online job interviews, aiming to secure remote work positions and infiltrate organizations. In this new era, trust can't be assumed or merely detected. It must be proven deterministically and in real-time. Why the Problem Is Growing Three trends are converging to make AI impersonation the next big threat vector: AI makes deception cheap and scalable: With open-source voice and video tools, threat actors can impersonate anyone with just a few minutes of reference material. Virtual collaboration exposes trust gaps: Tools like Zoom, Teams, and Slack assume the person behind a screen is who they claim to be. Attackers exploit that assumption. Defenses generally rely on probability, not proof: Deepfake detection tools use facial markers and analytics to guess if someone is real. That's not good enough in a high-stakes environment. And while endpoint tools or user training may help, they're not built to answer a critical question in real-time: Can I trust this person I am talking to? AI Detection Technologies Are Not Enough Traditional defenses focus on detection, such as training users to spot suspicious behavior or using AI to analyze whether someone is fake. But deepfakes are getting too good, too fast. You can't fight AI-generated deception with probability-based tools. Actual prevention requires a different foundation, one based on provable trust, not assumption. That means: Identity Verification: Only verified, authorized users should be able to join sensitive meetings or chats based on cryptographic credentials, not passwords or codes. Device Integrity Checks: If a user's device is infected, jailbroken, or non-compliant, it becomes a potential entry point for attackers, even if their identity is verified. Block these devices from meetings until they're remediated. Visible Trust Indicators: Other participants need to see proof that each person in the meeting is who they say they are and is on a secure device. This removes the burden of judgment from end users. Prevention means creating conditions where impersonation isn't just hard, it's impossible. That's how you shut down AI deepfake attacks before they join high-risk conversations like board meetings, financial transactions, or vendor collaborations. Detection-Based Approach Prevention Approach Flag anomalies after they occur Block unauthorized users from ever joining Rely on heuristics & guesswork Use cryptographic proof of identity Require user judgment Provide visible, verified trust indicators Eliminate Deepfake Threats From Your Calls RealityCheck by Beyond Identity was built to close this trust gap inside collaboration tools. It gives every participant a visible, verified identity badge that's backed by cryptographic device authentication and continuous risk checks. Currently available for Zoom and Microsoft Teams (video and chat), RealityCheck: Confirms every participant's identity is real and authorized Validates device compliance in real time, even on unmanaged devices Displays a visual badge to show others you've been verified If you want to see how it works, Beyond Identity is hosting a webinar where you can see the product in action. Register here! Found this article interesting? This article is a contributed piece from one of our valued partners. Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE     المصدر: https://thehackernews.com/2025/05/deepfake-defense-in-age-of-ai.html
    THEHACKERNEWS.COM
    Deepfake Defense in the Age of AI
    May 13, 2025The Hacker NewsAI Security / Zero Trust The cybersecurity landscape has been dramatically reshaped by the advent of generative AI. Attackers now leverage large language models (LLMs) to impersonate trusted individuals and automate these social engineering tactics at scale. Let's review the status of these rising attacks, what's fueling them, and how to actually prevent, not detect, them. The Most Powerful Person on the Call Might Not Be Real Recent threat intelligence reports highlight the growing sophistication and prevalence of AI-driven attacks: Voice Phishing Surge: According to CrowdStrike's 2025 Global Threat Report, there was a 442% increase in voice phishing (vishing) attacks between the first and second halves of 2024, driven by AI-generated phishing and impersonation tactics. Social Engineering Prevalence: Verizon's 2025 Data Breach Investigations Report indicates that social engineering remains a top pattern in breaches, with phishing and pretexting accounting for a significant portion of incidents North Korean Deepfake Operations: North Korean threat actors have been observed using deepfake technology to create synthetic identities for online job interviews, aiming to secure remote work positions and infiltrate organizations. In this new era, trust can't be assumed or merely detected. It must be proven deterministically and in real-time. Why the Problem Is Growing Three trends are converging to make AI impersonation the next big threat vector: AI makes deception cheap and scalable: With open-source voice and video tools, threat actors can impersonate anyone with just a few minutes of reference material. Virtual collaboration exposes trust gaps: Tools like Zoom, Teams, and Slack assume the person behind a screen is who they claim to be. Attackers exploit that assumption. Defenses generally rely on probability, not proof: Deepfake detection tools use facial markers and analytics to guess if someone is real. That's not good enough in a high-stakes environment. And while endpoint tools or user training may help, they're not built to answer a critical question in real-time: Can I trust this person I am talking to? AI Detection Technologies Are Not Enough Traditional defenses focus on detection, such as training users to spot suspicious behavior or using AI to analyze whether someone is fake. But deepfakes are getting too good, too fast. You can't fight AI-generated deception with probability-based tools. Actual prevention requires a different foundation, one based on provable trust, not assumption. That means: Identity Verification: Only verified, authorized users should be able to join sensitive meetings or chats based on cryptographic credentials, not passwords or codes. Device Integrity Checks: If a user's device is infected, jailbroken, or non-compliant, it becomes a potential entry point for attackers, even if their identity is verified. Block these devices from meetings until they're remediated. Visible Trust Indicators: Other participants need to see proof that each person in the meeting is who they say they are and is on a secure device. This removes the burden of judgment from end users. Prevention means creating conditions where impersonation isn't just hard, it's impossible. That's how you shut down AI deepfake attacks before they join high-risk conversations like board meetings, financial transactions, or vendor collaborations. Detection-Based Approach Prevention Approach Flag anomalies after they occur Block unauthorized users from ever joining Rely on heuristics & guesswork Use cryptographic proof of identity Require user judgment Provide visible, verified trust indicators Eliminate Deepfake Threats From Your Calls RealityCheck by Beyond Identity was built to close this trust gap inside collaboration tools. It gives every participant a visible, verified identity badge that's backed by cryptographic device authentication and continuous risk checks. Currently available for Zoom and Microsoft Teams (video and chat), RealityCheck: Confirms every participant's identity is real and authorized Validates device compliance in real time, even on unmanaged devices Displays a visual badge to show others you've been verified If you want to see how it works, Beyond Identity is hosting a webinar where you can see the product in action. Register here! Found this article interesting? This article is a contributed piece from one of our valued partners. Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE    
    0 Comments 0 Shares
CGShares https://cgshares.com