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Map

All services

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 AssessmentView 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 MapperSecEng Surface ScannerSecEng Authority Graph — Agent Blast-Radius MapSecEng RAG Test Harness — XPIA LabLocal-first AI Security Scorecard

Featured research

AI Security Engineering Field GuideThe State of AI Security Engineering Report
The State of AI Security Engineering Report 2026 cover

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.

300,000+ Job descriptions analyzed15 Named findings9 Role archetypes mapped

Open report

SecEng Threat Canvas demo screenshot

Map instrument

SecEng Threat Canvas

SecEng Surface Scanner screenshot

Surface discovery

SecEng Surface Scanner

AI product security control plane portfolio visual

Evidence proof

AI Product Security Control Plane

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

View proof

Flagship
MapAvailable

assessment

AI Product Security Assessment

A 2-4 week assessment of an AI-enabled product, including architecture, data flows, trust boundaries, model and provider dependencies, RAG surfaces, tenant isolation, authorization paths, data exposure, and product-security gaps.

Outcome

5 deliverables

Best for

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

  • •AI system inventory, application register, and product-surface review
  • •Architecture, data-flow, trust-boundary, model/provider, RAG, and tenant-isolation review
  • •Threat modeling, SDLC, privacy, authorization, logging, and release-risk modules
  • •Engineering-ready remediation roadmap and buyer-ready evidence summary
Duration: 2-4 weeksScoped in discovery call
View serviceStart AssessmentSee people fitView evidence
Flagship
MapAvailable

diagnostic

AI Security Maturity Benchmark

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 in discovery call
View serviceTake the BenchmarkSee people fitView evidence

Sample deliverables

Trust boundary map
AI asset / capability inventory
Abuse-path hypothesis list
Evidence gap register
Control mapping inputs