Consulting
Secure SDLC & Product Security Baseline
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 SDLC & Product Security Baseline
Build a practical product security operating model engineering teams can actually run. Uses SDL, BSIMM, OWASP SAMM, threat modeling, secure code review patterns, CI/CD controls, vulnerability workflows, and developer enablement without heavyweight bureaucracy.
Duration
4-8 weeks
Deliverables
4 implementation-grade outputs
Rate
Custom
What we cover
- Maturity baseline and secure SDLC workflow
- Threat modeling process and security requirements templates
- CI/CD, SAST, SCA, and secrets workflow recommendations
- Vulnerability intake, SLA, backlog, and ownership model
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
What to upload
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.