AI Agent Threat Model Template
Vollständiges AI Agent Threat Model Template mit standardisierter Bedrohungsanalyse, Risikoanalyse und Sicherheitssteuerungs-Dokumentation für autonome Systeme.
Was ist Threat Modeling für KI-Agenten? Einfach erklärt
Threat Modeling für KI-Agenten ist wie eine systematische Sicherheitsanalyse: man identifiziert alle möglichen Angriffsvektoren, bevor sie passieren. Das Template hilft dabei, STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) auf AI-spezifische Bedrohungen anzuwenden: Prompt Injection, Model Poisoning, Data Exfiltration durch den Agenten, Privilege Escalation über Agent-Aktionen. Das Ergebnis ist ein strukturiertes Bedrohungs-Register mit Mitigations-Maßnahmen.
↓ Springe zu Template-Komponenten, STRIDE-Analyse und Best Practices
Threat Model Template Overview
Template Components
- System architecture documentation
- Asset identification and classification
- Threat analysis and categorization
- Risk assessment and prioritization
- Security control recommendations
System Architecture Documentation
Architecture Components
- AI model and algorithms
- Data processing pipelines
- Decision-making logic
- Interaction interfaces
- External integrations
Trust Boundaries
- Data flow boundaries
- Control flow boundaries
- Network segmentation
- Access control boundaries
- Privilege escalation paths
Asset Identification
# Asset Classification Framework ## Critical Assets - AI model weights and parameters - Training datasets and pipelines - Decision logic and policies - Authentication and authorization data - Audit logs and monitoring data ## Important Assets - Configuration files and settings - API keys and secrets - User data and preferences - Performance metrics - Communication interfaces ## Supporting Assets - Documentation and manuals - Development and testing environments - Backup and recovery systems - Monitoring and alerting tools - Third-party integrations
Threat Analysis Framework
STRIDE Categories
- Spoofing - Identity impersonation
- Tampering - Data or system modification
- Repudiation - Denial of actions
- Information Disclosure - Data leakage
- Denial of Service - Service disruption
- Elevation of Privilege - Access escalation
AI-Specific Threats
- Prompt injection attacks
- Data poisoning and manipulation
- Model inversion attacks
- Membership inference attacks
- Adversarial examples
Risk Assessment Methodology
Security Control Recommendations
# Security Control Framework ## Preventive Controls - Input validation and sanitization - Authentication and authorization mechanisms - Network segmentation and isolation - Encryption at rest and in transit - Secure development practices ## Detective Controls - Real-time monitoring and alerting - Behavioral analysis and anomaly detection - Security logging and audit trails - Intrusion detection systems - Regular security assessments ## Corrective Controls - Incident response procedures - System recovery and restoration - Security patch management - Configuration management - Forensic analysis capabilities ## Compensating Controls - Multi-factor authentication - Defense-in-depth architecture - Redundancy and failover systems - Insurance and risk transfer - Compliance frameworks
Threat Model Documentation Template
Executive Summary
- System overview and purpose
- Key findings and risks
- Business impact assessment
- Recommendations summary
- Implementation timeline
Technical Details
- Architecture diagrams
- Data flow documentation
- Threat analysis details
- Risk assessment matrices
- Control specifications
Implementation Guidelines
Development Phase
- Secure development lifecycle
- Code review and analysis
- Security testing integration
- Threat model updates
- Documentation maintenance
Operational Phase
- Continuous monitoring
- Regular security assessments
- Incident response procedures
- Security awareness training
- Compliance verification
Review and Maintenance
# Threat Model Maintenance Process ## Regular Reviews - Quarterly threat model reviews - Annual comprehensive assessments - Architecture change triggers - New threat intelligence integration - Control effectiveness evaluation ## Update Triggers - System architecture changes - New technology adoption - Security incident analysis - Regulatory requirement changes - Emerging threat identification ## Documentation Updates - Version control management - Change documentation - Stakeholder communication - Training material updates - Compliance documentation
Best Practices
Regular Updates
Update threat models regularly to reflect system changes and new threats
Stakeholder Involvement
Involve all relevant stakeholders in threat modeling process
Documentation
Maintain comprehensive documentation for threat models and controls
Continuous Monitoring
Continuously monitor for new threats and control effectiveness
Template Examples
Chatbot Threat Model
- Prompt injection threats
- Data leakage risks
- Unauthorized access controls
- Privacy compliance requirements
- Service availability concerns
Autonomous Agent Threat Model
- Decision manipulation threats
- Goal hijacking risks
- Resource exploitation controls
- Behavioral monitoring requirements
- Fail-safe implementation needs