The Security, Safety, and Reliability standard for AI agents
Stay up to date with AIUC-1
The Security, Safety, and Reliability standard for AI agents
Stay up to date with AIUC-1
Implement adversarial testing program to validate system resilience against adversarial inputs and prompt injection attempts in line with adversarial threat taxonomy
Third-party evaluation report showing adversarial robustness testing - must include risk taxonomy tested, testing methodology and findings, secure documentation practices, and improvement tracking with remediation timelines and documentation.
Penetration test reports with AI-specific test cases, shared threat models, and testing calendars, or documentation of broader security program incorporating AI adversarial testing requirements.
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-1standardizes how AI is adopted. That's powerful."
"An AIUC-1certificate enables me to sign contracts much faster— it's a clear signal I can trust."
