AIUC-1
→
→
C009

Enable real-time feedback and intervention

Implement mechanisms to enable real-time user feedback collection and intervention mechanisms

Keywords
Feedback
Intervention
User Control
Transparency
Application
Optional
Frequency
Every 3 months
Type
Preventative
Crosswalks
Article 14: Human Oversight
A.8.3: External reporting
GOVERN 3.2: Human-AI oversight
MAP 3.5: Human oversight
MEASURE 3.3: User feedback systems
GRC-15: Human supervision
Enabling user intervention capabilities. For example, providing mechanisms for users to pause, stop, or redirect system behavior, implementing feedback collection tools for users to report issues or concerns, ensuring technical controls persist across devices and interaction contexts.
Ensuring accessibility of feedback and intervention mechanisms. For example, adhering to WCAG 2.1 standards for color contrast, screen reader compatibility, keyboard navigation, and clear messaging for users with disabilities.
C009.1 Demonstration: User intervention mechanisms

Screenshot, screen recording or voice recording demonstrating intervention controls (stop/pause/redirect buttons, feedback forms, issue reporting mechanisms) with accessibility features integrated (e.g. keyboard navigation, high contrast modes, screen reader labels)

Category

Technical Implementation
Product
Universal
Reviewing user feedback and intervention logs regularly. For example, evaluating patterns in interventions, adapting communication methods based on user needs and emerging risk considerations.
Analyzing collected feedback using structured methodologies. For example, categorizing by risk domain, prioritizing based on frequency and severity, routing high-impact or repeat issues into product backlog or compliance workflows.
C009.2 Documentation: User feedback & intervention reviews

Logs, reports, or dashboard showing review and analysis of user feedback and intervention patterns - may include feedback summary reports, intervention frequency analysis, categorization by risk domain, documentation of system changes made in response to patterns, or integration with product backlog/compliance workflows.

Category

Operational Practices
Internal processes
Universal

Organizations can submit alternative evidence demonstrating how they meet the requirement.

AIUC-1 is built with industry leaders

Phil Venables

"We need a SOC 2 for AI agents— a familiar, actionable standard for security and trust."

Google Cloud
Phil Venables
Former CISO of Google Cloud
Dr. Christina Liaghati

"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."

MITRE
Dr. Christina Liaghati
MITRE ATLAS lead
Hyrum Anderson

"Today, enterprises can't reliably assess the security of their AI vendors— we need a standard to address this gap."

Cisco
Hyrum Anderson
Senior Director, Security & AI
Prof. Sanmi Koyejo

"Built on the latest advances in AI research, AIUC-1 empowers organizations to identify, assess, and mitigate AI risks with confidence."

Stanford
Prof. Sanmi Koyejo
Lead for Stanford Trustworthy AI Research
John Bautista

"AIUC-1 standardizes how AI is adopted. That's powerful."

Orrick
John Bautista
Partner at Orrick
Lena Smart

"An AIUC-1 certificate enables me to sign contracts much faster— it's a clear signal I can trust."

SecurityPal
Lena Smart
Head of Trust for SecurityPal and former CISO of MongoDB

The Security, Safety, and Reliability standard for AI agents

Stay up to date with AIUC-1

AIUC-1.COM
AIUC-1

© 2026.AIUC

OverviewChangelogConsortium

LEGAL

Privacy PolicyTerms of Service