Practice Area Scoping GuideMITRE ATLAS TaxonomyNIST AI RMF 1.0 (Govern & Map Functions)OWASP AI Threat Modeling Framework
AI Threat Modeling & Risk Assessment
Traditional STRIDE threat modeling does not account for non-deterministic model behavior, prompt injection, hallucination exploitation, or agent tool misuse. AgentClad Security provides specialized AI Threat Modeling services combining STRIDE, MITRE ATLAS, and OWASP LLM risk categories to identify design-level flaws before code is written.
Technical Scoping Activities
- System decomposition and data flow mapping for AI workloads
- Threat identification using MITRE ATLAS and AI-STRIDE taxonomy
- Abuse case and misuse case scenario generation
- Risk prioritization based on business impact and exploit feasibility
- Mitigation control mapping and security requirement specification
Concrete Eng Deliverables
- AI System Threat Model & Risk RegisterArtifact Label: [Sample Audit Artifact] - Comprehensive risk register mapping assets, threats, likelihood, impact, and mitigations.
- AI Security Architecture BaselineArtifact Label: [Sample Audit Artifact] - Security control requirements tailored to the specific AI system architecture.
- Abuse Case & Misuse Scenario CatalogArtifact Label: [Sample Audit Artifact] - Detailed misuse stories for QA and security validation engineering.
Engagement RACI & Prerequisites
- Facilitate threat modeling workshops with engineering and security stakeholders.
- Produce comprehensive threat registers and visual threat diagrams.
- Recommend architectural controls and security user stories.
Explicit Engagement Exclusions
- Execution of active red team pentest attacks (covered under AI Red Teaming).
Practice Area FAQs
When in the development lifecycle should we do AI threat modeling?
Ideally during the design phase before architecture is finalized, but it can also be conducted on existing production systems prior to major agentic feature upgrades.
Schedule a Technical Scoping Session for AI Threat Modeling & Risk Assessment
Discuss your system architecture, deployment timeline, and compliance targets directly with our AI security engineers.