Map

Map the system before attackers, buyers, or auditors define it for you.

Map the AI system's trust boundaries, asset inventory, model/data/retrieval/tool/identity flows, and evidence gaps. Map outputs become test scope, control priorities, and buyer-ready evidence.

Start AI Security Assessment View 8-Service Portfolio

AI system inventory and trust map diagram

Inventory to trust boundary

Map visual operating model

Buyer questions

- What AI systems and features do we have?
- Where are our trust boundaries?
- Which vendors, SDKs, models, vector stores, tools, and agents are in scope?
- Which risks need review before launch or buyer scrutiny?

Products / instruments

SecEng Threat Canvas — Trust Boundary Mapper SecEng Surface Scanner SecEng Authority Graph — Agent Blast-Radius Map SecEng RAG Test Harness — XPIA Lab Local-first AI Security Scorecard

Featured research

AI Security Engineering Field Guide The State of AI Security Engineering Report

Featured research

The State of AI Security Engineering Report 2026

What companies are actually hiring for when they say "AI Security Engineer" — a ground-truth analysis of job descriptions, a practitioner-built skills taxonomy, governance maturity mapping, and the evidence base for a discipline worth naming.

754,507 Job descriptions analyzed27,260 Companies analyzed15 Chapters

Open report

Map instrument

SecEng Threat Canvas

Surface discovery

SecEng Surface Scanner

Evidence proof

AI Product Security Control Plane

Evidence path for product assessment, control mapping, and launch-readiness review.

View proof

Flagship

MapAvailable

assessment

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.

Outcome

5 deliverables

Best for

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

•Launch risk report
•Prioritized fix list
•Release decision pack
•Buyer-ready evidence

Duration: 5–10 business daysScoped through no-cost scoping

View service Scope a Launch Review See people fit

Flagship

MapAvailable

assessment

AI Product Security Assessment

The deeper 2–4 week assessment for AI-enabled products — typically the follow-on to an AI Launch Security Review, or when a system needs full architecture, data-flow, trust-boundary, model and provider dependency, RAG surface, tenant isolation, authorization, privacy, logging, SDLC, and evidence review.

Outcome

5 deliverables

Best for

CISO, Head of Product Security, VP Engineering, AI Product Lead

•System and trust-boundary map
•Reproducible high-impact findings
•Prioritized remediation backlog
•Control and evidence gaps

Duration: 2-4 weeksScoped through no-cost scoping

View service Request an AI security review See people fit View evidence

Flagship

MapAvailable

diagnostic

AI Security Program Baseline

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.

Outcome

5 deliverables

Best for

CISO, CTO, Security Program Lead, AI Governance Lead

•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

Duration: 1-3 weeksScoped through no-cost scoping

View service See people fit View evidence

Sample deliverables

Trust boundary map

AI asset / capability inventory

Abuse-path hypothesis list

Evidence gap register

Control mapping inputs