Consulting
AI Security Maturity Benchmark
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 Security Maturity Benchmark
A fast diagnostic of product, engineering, governance, evidence, and AI-security maturity. It gives leaders a lower-friction first artifact and a prioritized path into deeper assessment, red-team, hardening, sales enablement, or operating-model work.
Duration
1-3 weeks
Deliverables
5 implementation-grade outputs
Rate
Scoped after discovery
What we cover
- AI security maturity scorecard across product, engineering, governance, and evidence
- Control coverage snapshot, gap heatmap, and priority findings
- 30/60/90 roadmap for the next paid engagement or program push
- Buyer, board, or executive summary with careful claim language
Scoping workflow
Collect the details before the call.
Use the service-specific intake below to collect the organization profile, stakeholders, systems, and files we need in advance. The same workspace data can later be managed from your client portal.
Structured intake
Turn this into a scoped engagement.
This form captures the organization details, stakeholders, systems, and assets we need before the discovery call. It saves into your client workspace so the same record can be updated later from your account area.
What we ask
- Which product surfaces, APIs, or feature flags are changing?
- Where do trust boundaries, approvals, or identity flows look incomplete?
- Which controls need to be verified before launch or customer review?
- What architecture, threat-model, or SDLC evidence can you upload now?
What to upload
- Current architecture diagram or sequence flow
- API docs, auth model, or permission matrix
- Release gate checklist or SDLC notes
- Threat model, code review notes, or prior findings
- Known dependencies, vendors, or risky integrations
Organization profile
Project details
Stakeholders
Who should receive the proposal, notes, and next steps?
Add at least one stakeholder so we know who to include in the follow-up.
Uploads
Add files, screenshots, or text artifacts before the call.
No uploads yet. Screenshots, docs, questionnaire exports, and notes can all be added here.
Saving writes this draft into your workspace profile. Nothing has been saved yet.
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.