AI For Real

Tag: cybersecurity

  • AI Driven Cybersecurity Monitoring Gains Momentum As EY India Launches Cyber Risk Platform

    AI Driven Cybersecurity Monitoring Gains Momentum As EY India Launches Cyber Risk Platform

    Artificial intelligence (AI) is moving beyond threat detection and into continuous cybersecurity monitoring.

    EY India is launching an AI-powered Cyber Performance Management platform that aims to help enterprises measure cyber risk in real time rather than relying on periodic security reviews.

    What this indicates is a major shift in enterprise security, where AI is increasingly being used to monitor, analyse and prioritise cyber threats across complex digital environments.

    The new platform, said the company, brings together data from an organization’s cybersecurity tools to provide a “live” view of its security posture.

    Instead of presenting security teams with thousands of alerts, the AI engine evaluates vulnerabilities, identifies the most critical risks and links them to potential business impact. This allows security teams and business leaders to understand which threats require immediate attention.

    Traditional cybersecurity programmes often depend on manual assessments and periodic audits, making it difficult to keep pace with rapidly evolving threats. EY’s platform is designed to replace that approach with continuous AI-driven monitoring that can detect changes in an organisation’s risk profile as they happen.

    The company said the platform combines cybersecurity posture, threat exposure, detection and response into a single system. AI analyses large volumes of security data, helping organisations quantify cyber risk in financial and operational terms rather than relying solely on technical metrics. This gives executives a clearer understanding of how cyber incidents could affect business operations, compliance and revenue.

    The launch comes as enterprises continue expanding cloud infrastructure, connected devices and AI applications, creating larger attack surfaces that are increasingly difficult to monitor manually. As cyber threats become more sophisticated, organisations are looking to AI to automate routine monitoring, speed up threat prioritisation and improve response times.

    The announcement highlights a growing trend in enterprise security, where AI is no longer focused only on identifying attacks but on providing continuous cyber performance monitoring. As businesses face increasing regulatory pressure and more frequent cyber threats, real-time AI monitoring is becoming an essential part of enterprise risk management rather than an optional security upgrade.

    Image credit: EY/Facebook

  • “Mythos AI” Has People Worried

    “Mythos AI” Has People Worried

    Most of our “AI For Real” community members know this by now. Artificial intelligence (AI) is no longer just about chatbots or smart assistants. The tech is now being used in cybersecurity.

    Of late, one of the most talked‑about systems is “Mythos AI”, built by Anthropic. Unlike regular AI tools that answer questions or generate text, Mythos is designed to scan computer systems and find weaknesses in the code at lightning speed.

    Think of it as a super‑powered hacker, but one created in a lab.

    What Makes Mythos Different

    • Speed and Scale: Mythos can check millions of lines of code faster than human experts.
    • Zero‑Day Flaws: It can uncover hidden bugs that developers didn’t even know existed.
    • Simulation Power: Mythos doesn’t just find problems—it can also show how those problems could be exploited.

    This combination makes it incredibly powerful. But it also explains why governments, banks, and businesses the world over are nervous.

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    The Perceived Threat

    • Cybersecurity Risks: If Mythos fell into the wrong hands, it could be used to attack financial systems, government networks, or even everyday apps.
    • Banking Alarm: Indian banks have already shifted budgets to “survival mode,” fearing that Mythos could expose customer data or disrupt payments.
    • Government Concerns: India’s Finance Minister compared Mythos to “a threat as big as war.” The U.S. has restricted access, worried about misuse.
    • Global Unease: Countries like Canada and India worry they’re being left out of testing, which could leave their systems more vulnerable.

    Anthropic’s Defense

    Anthropic insists Mythos is not a weapon but a defensive tool. The company says it was built to help organizations find and fix problems before hackers can exploit them.

    It describes Mythos as an automated “red team”—a system that stress‑tests defenses so companies can patch weaknesses faster. Anthropic also emphasizes that there’s “limited access” to accessing Mythos, strict safeguards, and cooperation with regulators to ensure Mythos strengthens security rather than undermines it.

    Experts Weigh In

    Some experts argue that Mythos doesn’t create new dangers. It simply reveals how fragile our digital systems already are. The real issue is that AI speeds up the timeline: what once took weeks for hackers to discover can now be done in hours.

    Conclusion

    Mythos AI is a wake‑up call. It shows both the promise and peril of advanced AI in cybersecurity. Used responsibly, it could make the internet safer. Misused, it could trigger chaos. The challenge now is ensuring strong rules, fair access, and investment in local AI defenses so that technology protects rather than threatens.

    What do you think about tools like Mythos? Do comment.