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[Webinar] Mythos Reality Check: Beating Automated Exploitation at AI Speed

Imagine a world where hackers don't sleep, don't take breaks, and find weak spots in your systems instantly. Well, that world is already here. Thanks to AI, attackers are now launching automated, large-scale exploits faster than ever before. The time you have to fix a vulnerability before it gets attacked is shrinking to zero. We call this the Collapsing Exploit Window, and it means your

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Project Glasswing Proved AI Can Find the Bugs. Who's Going to Fix Them?

Last week, Anthropic announced Project Glasswing, an AI model so effective at discovering software vulnerabilities that they took the extraordinary step of postponing its public release. Instead, the company has given access to Apple, Microsoft, Google, Amazon, and a coalition of others to find and patch bugs before adversaries can. Mythos Preview, the model that led to Project Glasswing, found

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Toxic Combinations: When Cross-App Permissions Stack into Risk

On January 31, 2026, researchers disclosed that Moltbook, a social network built for AI agents, had left its database wide open, exposing 35,000 email addresses and 1.5 million agent API tokens across 770,000 active agents. The more worrying part sat inside the private messages. Some of those conversations held plaintext third-party credentials, including OpenAI API keys shared between agents,

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5 Places where Mature SOCs Keep MTTR Fast and Others Waste Time

Security teams often present MTTR as an internal KPI. Leadership sees it differently: every hour a threat dwells inside the environment is an hour of potential data exfiltration, service disruption, regulatory exposure, and brand damage.Β  The root cause of slow MTTR is almost never "not enough analysts." It is almost always the same structural problem: threat intelligence that exists

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