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 monitoring capabilities to detect and enable responding to adversarial inputs and prompt injection attempts
Monitoring system, SIEM, or detection code showing rules and alerts for adversarial inputs - may include prompt injection detection patterns, jailbreak technique signatures, rate limit monitoring with threshold alerts, or notification configurations (Slack, PagerDuty, email)
Incident management system or logs showing adversarial attack handling - may include log entries with timestamps and user/session context, escalation runbooks defining severity thresholds, or incident tickets in Jira/PagerDuty/ServiceNow documenting response actions and workflows.
Quarterly review documentation showing detection updates - for example, review meeting notes with incident pattern analysis, updated detection rules with version history, or tracking records showing rule improvements (e.g. GitHub/Jira tickets).
Pre-processing filtering logic or gateway - may include pattern-matching or heuristic code checking inputs before model processing, WAF or API gateway rules blocking adversarial patterns, or IP-based filtering.
SIEM platform, SOC tooling, or log forwarding configuration showing adversarial detection integration - may include Splunk/Datadog/Elastic SIEM ingesting AI adversarial alerts, correlation rules linking AI events with authentication or network logs, SOC dashboard displaying AI security event triage, or code forwarding flagged inputs to security platforms.
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."
