Consulting
AI Launch Security Review
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 Launch Security Review
A 5–10 business day pre-release security review for AI features, copilots, RAG systems, agents, and AI workflows. Find the launch-blocking AI security risks before customers, attackers, or enterprise security reviewers do. First findings in 5 business days; launch-ready review in 5–10 business days. Expands into a deeper 2–4 week AI Product Security Assessment when needed.
Duration
5–10 business days
Deliverables
5 implementation-grade outputs
Rate
Scoped after triage
What we cover
- AI product surface and launch-context scope — what is shipping and to whom
- Prompts, system instructions, and user-controlled inputs under abuse pressure
- RAG, retrieval, and tenant data boundaries — leakage and isolation review
- Agent tools, permissions, approvals, and rollback paths
- Model/provider dependencies, authorization, identity propagation, logging, and data exposure
- Guardrail and eval pressure checks plus customer/security-review evidence gaps
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 AI systems, product features, or agents are in scope first?
- Where do retrieval, tool use, and provider boundaries create the most uncertainty?
- What evidence already exists, and what is still missing?
- Which launch, customer, or incident deadline is driving the work?
What to upload
- Architecture diagram or service map
- AI feature inventory or application register
- Auth, retrieval, and model-provider notes
- Logs, traces, or screenshots from the current environment
- Any questionnaires or trust-center language already in circulation
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.