Consulting
Secure AI SDLC Program Buildout
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
Secure AI SDLC Program Buildout
Build the secure development lifecycle for AI products: architecture review gates, threat modeling, eval gates, data and model controls, release criteria, incident hooks, and customer evidence expectations.
Duration
8-12 weeks
Deliverables
8 implementation-grade outputs
Rate
Custom
What we cover
- Secure AI SDLC control framework
- AI architecture review gate design
- Threat modeling and eval-gate workflow
- Data, model, and provider risk controls
- Release criteria and exception process
- Product security intake and review workflow
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.