UC Berkeley’s Center for Long-Term Cybersecurity has introduced the Agentic AI Risk-Management Standards Profile, a crucial framework for governing autonomous AI systems. Released in February 2026, this 67-page document outlines specialized governance controls tailored to AI agents capable of independent decision-making within critical infrastructure. Traditional AI frameworks fall short in addressing risks from these agentic systems, such as self-proliferation and deceptive alignment. The profile mandates accountability structures to maintain human oversight while allowing AI autonomy across six classification levels. Emphasizing a shift from model-centric to agent-centric risk management, organizations must employ real-time monitoring, risk mapping, and comprehensive logging practices. With the increasing integration of agentic AI in advertising platforms, such as Yahoo DSP and Amazon’s APIs, the profile addresses the urgent need for robust governance to mitigate risks associated with emerging technologies. This initiative aims to balance innovation with safety, ensuring responsible AI deployment across various applications.
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