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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

Services

M.A.D.E. — Map

AI Launch Security Review

Find the launch-blocking AI security risks before customers, attackers, or enterprise security reviewers do.

A 5–10 business day pre-release security review for AI features, copilots, RAG systems, agents, and AI workflows shipping in the next 30–60 days. 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 as follow-on.

Launch gate · timeline

First findings in 5 business days. Launch-ready review in 5–10 business days. Deeper 2–4 week AI Product Security Assessment available as follow-on.

What you achieve

A go/no-go launch decision backed by abuse-path findings, a release gate, and a sprint-ready fix backlog.

Primary output

AI Launch Risk Memo

Markdown

Best for

AI Product Lead, Head of Product Security, CISO, VP Engineering shipping in 30–60 days

Engagement model

assessment

Duration

5–10 business days

Deliverables

5 deliverables

What it covers

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

Use when

We are launching an AI feature, copilot, RAG system, agent, or workflow in the next 30–60 days.A private beta, GA, or enterprise security review is approaching.We need a release decision: what must be fixed before we ship.

Start here

Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.

Canonical route: /services/ai-launch-security-review