Palo Alto Networks’ technology chief is warning that many companies are falling behind as AI-powered attackers move from experiments to real exploitation. The concern: hackers are using AI models to find and leverage software vulnerabilities more quickly, shrinking response timelines. With firms losing precious momentum, the executive suggests that AI-driven intrusions may soon become routine unless defenses are upgraded immediately.
Anthropic’s new AI model Mythos appears to reduce the gap between finding and exploiting software vulnerabilities, effectively compressing the “kill zone” for attackers and defenders alike. With many Indian companies running slower patch cycles, the risk rises as AI-driven exploitation becomes faster and more widely usable—pushing security teams toward continuous, machine-speed patching instead of periodic fixes.
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Anthropic’s new AI model, Mythos, is being described as a cybersecurity tool after surfacing around 2,000 software flaws in just seven weeks. Its speed and ability to identify vulnerabilities with less human prompting could reshape security testing. But Anthropic is not yet making Mythos public, citing potential downstream risks and growing concerns about data exposure for users and companies.
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