The security intelligence platform for AI teams
AI security threats move fast and get buried under hype and noise. Built by an Information Systems Security researcher to help security teams and developers stay ahead of vulnerabilities, privacy incidents, safety research, and policy developments.
Independent research. No sponsors, no paywalls, no conflicts of interest.
No new AI/LLM security issues were identified today.
Tabletop exercises (simulated crisis scenarios where teams discuss how they'd respond to incidents) have long been used in cybersecurity to test preparedness, but they have a key limitation: they test knowledge of plans rather than the ability to actually execute them, since scenarios follow a fixed script regardless of what the team decides. AI with agentic capabilities (AI systems that can take independent actions and adapt to changing conditions) now makes it possible to create dynamic tabletop exercises where simulated roles like threat actors or journalists respond in real time to the team's decisions instead of following a predetermined sequence.
Fix: The source text describes using 'AI agentic capabilities' to address the limitation, specifically stating that 'AI allows us to have an adversary that adapts to defensive decisions rather than following a' (the text cuts off here). The source indicates this would enable 'roles that were previously absent (e.g., the threat actor, the journalist, the regulator, the customer)' to 'respond to the team's decisions in real time rather than following a fixed sequence,' but does not provide specific implementation details, version numbers, or a complete explanation of how to deploy this solution.
CSO Online