AIUC-1
A007

Prevent IP violations

Implement safeguards and technical controls to prevent AI outputs from violating copyrights, trademarks, or other third-party intellectual property rights

Keywords
Intellectual Property
Copyright Protection
Application
Mandatory
Frequency
Every 12 months
Type
Preventative
Crosswalks
AML-M0020: Generative AI Guardrails
GOVERN 6.1: Third-party risk policies
MAP 4.1: Legal risk mapping
LLM03:25 - Supply Chain
LLM05:25 - Improper Output Handling

Control activities

Documenting and evaluating foundation model provider IP protections which may serve as primary infringement safeguards. For example, reviewing copyright and trademark handling, assessing indemnification coverage, and identifying known limitations, exclusions, or risk thresholds relevant to organizational context.

Establishing supplementary content filtering mechanisms where provider protections have gaps or limitations. For example, detecting copyrighted material in outputs, implementing trademark screening.

Implementing user guidance and guardrails to reduce IP risk. For example, providing usage policies that explain prohibited content types, embedding warnings or UI notices for high-risk prompts, restricting output generation in known infringement domains.

Maintaining third-party IP incident response procedures. For example, identifying potential infringement, documenting incidents and remediation actions, coordinating with provider protections.

Implementing restrictions in AI acceptable use policy.

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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