Consulting
AI App Threat Modeling Sprint
Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.
Selected service
AI App Threat Modeling Sprint
A structured threat modeling sprint for LLM apps, copilots, RAG systems, assistants, AI workflows, and AI-enabled product features. The sprint converts ambiguity into concrete abuse cases, controls, and engineering tasks.
Duration
2-4 weeks
Deliverables
6 implementation-grade outputs
Rate
Custom
What we cover
- AI system inventory and data-flow workshop
- Prompt, retrieval, model, and tool threat scenarios
- Abuse-case and misuse-case library
- Control mapping by architecture layer
- Security stories ready for engineering backlog
- Executive summary and implementation priorities
What we cover in the call
- • Your AI architecture, data sources, and model supply chain.
- • Risk profile for RAG, agents, prompt injection, and tool access.
- • Desired outcomes, timeline, and delivery constraints.
- • Recommended engagement format and next steps.
Typical duration
30 minutes
If you’re preparing:
- • A short summary of your AI program or feature.
- • Key risk concerns or audit requirements.
- • Current controls, telemetry, and team structure.