From guardrails to governance: A CEOs guide for securing agentic systems

Recent developments in AI security emphasize treating autonomous agents as powerful, semi-autonomous users, requiring strict boundary controls to mitigate risks. An actionable eight-step framework advocates for defining agent identity and scope by assigning each agent a specific, narrow role akin to a human user, ensuring they operate within constrained permissions aligned with their intended function, and prohibiting cross-tenant actions without explicit approval. This approach aligns with standards like Googles Secure AI Framework (SAIF) and NIST guidance, emphasizing the importance of transparency and accountability in managing agent capabilities. Implementing these controls involves establishing clear identity and scope protocols, such