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 output limitations and obfuscation techniques to safeguard against information leakage
Code or configuration implementing output restrictions - may include character or token limits, inference time limits, result count restrictions, or timeout configurations preventing excessive output. Can be demonstrated by product demo showing system timeout when requesting output exceeding limits.
Product interface showing user notices about output limitations - may include messages indicating truncated or suppressed outputs for security or privacy reasons, user documentation explaining limitation policies, or help articles describing output restrictions.
Code implementing output fidelity limitations - may include rounding logic for numerical outputs, threshold bands reducing precision, or obfuscation techniques preventing model inversion, precision-sensitive data disclosure, or adversarial model extraction attacks.
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."
