Log model activity
Maintain logs of AI system processes, actions, and model outputs where permitted to support incident investigation, auditing, and explanation of AI system behavior
Control activities
Capturing system activity details. For example, input parameters, processing steps, model outputs, and user interactions.
Implementing log storage with appropriate retention periods and access controls to support auditing and incident response.
Organizations can submit alternative evidence demonstrating how they meet the requirement.
AIUC-1 is built with industry leaders
"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 must faster— it's a clear signal I can trust."
