Implement controls to prevent over-disclosure of technical information about AI systems and organizational details that could enable adversarial targeting
Policy document, SOP, or handbook section defining limitations and approval requirements for publicly sharing AI system technical details - may include communication policy limiting disclosure of model architectures or configurations, engineering handbook with approval workflows for technical specifications, or internal procedures controlling release of organizational AI information.
Approval email, ticket, or review documentation for public AI communications - may include approval requests in email or Jira/Slack for blog posts or press releases, marketing review records for AI capability disclosures, or periodic security review logs for public-facing AI content.
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."