Record summary
A quick snapshot of what this page covers.
Techniques10Attack methods connected to this risk.
Mitigations14Defenses 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
Entity2 - AI
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryInformation Hazards
SubcategoryCompromising privacy by leaking private infiormation
Suggested mitigations
Defenses that may help with related attacks.
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
Passive AI Output Obfuscation
DeploymentML Model Evaluation
Restrict Number of AI Model Queries
Business and Data UnderstandingDeployment+1 more
AI Telemetry Logging
DeploymentMonitoring and Maintenance
AI Model Distribution Methods
Deployment
Verify AI Artifacts
Business and Data UnderstandingData Preparation+1 more
Generative AI Guardrails
ML Model EngineeringML Model Evaluation+1 more
AI Bill of Materials
Business and Data UnderstandingData Preparation+1 more
Restrict Library Loading
Deployment
Code Signing
Deployment
Vulnerability Scanning
ML Model EngineeringData Preparation
User Training
Business and Data UnderstandingData Preparation+4 more
Maintain AI Dataset Provenance
Data PreparationBusiness and Data Understanding
Source
Research source for this risk, when available.
Included resource
Ethical and social risks of harm from language models
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.