How our Control Red Team is stress-testing frontier monitors
AISI's Control Red Team reports early lessons from red-teaming frontier companies' internal control monitors, automating attack search, and listing open evaluation problems.
The UK government’s AI Security Institute: evaluations, red-teaming and research on frontier AI risks. aisi.gov.uk
AISI's Control Red Team reports early lessons from red-teaming frontier companies' internal control monitors, automating attack search, and listing open evaluation problems.
Red-blue team adversarial evaluation of asynchronous monitors that must catch a covertly sabotaging AI coding agent before or after its actions take effect.
Stress-tests asynchronous monitors for LLM software agents via a blue-team/red-team game, reaching 6% false negatives at 1% false positives, then extrapolates deployment sabotage risk.
Proposes a framework for scaling red-team control evaluations to agents' capability levels, defining five AI control levels with example rules and safety cases, and argues superintelligent agents may need new approaches.
UK AISI paper on AI control: how control protocols such as monitoring and human approval can constrain scheming LLM agents, and how to scale and evaluate those measures.