Record summary
A quick snapshot of what this page covers.
Techniques3Attack methods connected to this risk.
Mitigations10Defenses that may help with related attacks.
Domain2. Privacy & SecurityThe broad risk area this belongs to.
Risk profile
How this risk is described and categorized.
Domain2. Privacy & Security
Subdomain2.1 > Compromise of privacy by leaking or correctly inferring sensitive information
Entity1 - Human
Intent1 - Intentional
Timing1 - Pre-deployment
CategoryOpaque Data Collection
Subcategoryn/a
Suggested mitigations
Defenses that may help with related attacks.
Limit Model Artifact Release
Business and Data UnderstandingDeployment
Control Access to AI Models and Data at Rest
Business and Data UnderstandingData Preparation+2 more
Encrypt Sensitive Information
Data PreparationML Model Engineering+1 more
AI Model Distribution Methods
Deployment
Restrict Library Loading
Deployment
Code Signing
Deployment
Vulnerability Scanning
ML Model EngineeringData Preparation
User Training
Business and Data UnderstandingData Preparation+4 more
AI Bill of Materials
Business and Data UnderstandingData Preparation+1 more
Verify AI Artifacts
Business and Data UnderstandingData Preparation+1 more
Source
Research source for this risk, when available.
Included resource
Generating Harms: Generative AI's Impact & Paths Forward
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.