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
Appoint expert third parties to evaluate system robustness to harmful outputs including distressed outputs, angry responses, high-risk advice, offensive content, bias, and deception at least every 3 months
Third-party evaluation report showing harmful output testing - must include documentation of assessor qualifications, testing methodology and findings, and improvement tracking with remediation timelines and documentation.
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."
