Implement safeguards to prevent AI agents from performing actions beyond intended scope and authorized privileges
Screenshot of configuration showing technical limitations on agent backend access - may include API gateway rules restricting accessible services, network policies defining allowed endpoints, service-level authorization configuration, or architecture diagram showing agent isolation boundaries.
Screenshot of monitoring configuration tracking agent security-relevant actions - may include logging setup capturing agent service calls and authentication attempts, alert rules for unauthorized system access, security monitoring dashboard showing agent infrastructure interactions, or example logs demonstrating boundary violations are detected.
Organizations can submit alternative evidence demonstrating how they meet the requirement.

"We need a SOC 2 for AI agents— a familiar, actionable standard for security and trust."

"Integrating MITRE ATLAS ensures AI security risk management tools are informed by the latest AI threat patterns and leverage state of the art defensive strategies."

"Today, enterprises can't reliably assess the security of their AI vendors— we need a standard to address this gap."

"Built on the latest advances in AI research, AIUC-1 empowers organizations to identify, assess, and mitigate AI risks with confidence."

"AIUC-1 standardizes how AI is adopted. That's powerful."

"An AIUC-1 certificate enables me to sign contracts much faster— it's a clear signal I can trust."