AIUC-1
B003

Limit technical over-disclosure

Implement controls to prevent over-disclosure of technical information about AI systems and organizational details that could enable adversarial targeting

Keywords
Public Disclosure
Open-Source
External Threats
Application
Optional
Frequency
Every 12 months
Type
Preventative
Crosswalks
AML-M0000: Limit Public Release of Information
AML-M0001: Limit Model Artifact Release
LLM02:25 - Sensitive Information Disclosure
LLM07:25 - System Prompt Leakage

Control activities

Documenting limitations on technical information release. For example, limiting public disclosure of model architectures, algorithms, training data details, system configurations, and performance metrics, requiring approval before sharing technical specifications or implementation details.

Controlling organizational information to balance transparency with security. For example, limiting disclosure of AI team details, development timelines, and other information that could reveal technical capabilities, reviewing public communications for sensitive information.

Establishing approval processes. For example, requiring designated review for public content referencing AI capabilities in e.g. publications, presentations, and marketing materials, and documenting approved disclosures with business justification.

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 and creator of the YC SAFE
Lena Smart

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

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