Services
M.A.D.E. — MapAI 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
MarkdownBest 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
Supporting products
SecEng Threat Canvas
Map the launching AI surface, trust boundaries, and threat model fast.
SecEng Adversarial Range
Pressure-test abuse paths before customers and attackers find them.
SecEng RAG Test Harness
Retrieval, tenant-boundary, and leakage tests for pre-launch RAG.
SecEng Authority Graph
Agent tools, permissions, approvals, and rollback boundaries.
Related research
Related people
David Wolf
Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.
Alex Eisen
Finds real AI attack paths through applied vulnerability research, adversarial testing, and incident-informed threat analysis.
Alex Karoulias
Engineering student at Athens Technical University, Class of 2027
Tim Kerimbekov
Related evidence
Related services
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