01
Inventory
Find AI surfaces, owners, providers, data flows, RAG paths, tools, and user populations before deciding which controls apply.
Back to solution briefs
SOLUTION BRIEF / PRODUCT SECURITY
Convert AI product risk into an engineering control plane.
A practical operating model for teams shipping LLM-enabled features, RAG systems, copilots, and AI workflows that need controls customers and executives can inspect.
Audience
CISOs, product-security leaders, CTOs, AI platform owners
Brief packet
Problem pressure01
Operating model02
Sprint workstreams03
Reviewable artifacts04
5
control layers
7
evidence classes
30-60
day rollout path
Signal
AI features often reach production faster than the surrounding ownership, telemetry, authorization, evaluation, and evidence systems. The result is not only technical exposure. It is an executive visibility problem.
Control target
Inventory / Control / Evidence
Evidence target
AI surface inventory and risk-tier register
Claim posture
Use this as operating-model guidance, not proof of any individual company's internal security maturity.
Problem
The pressure this brief resolves.
AI features often reach production faster than the surrounding ownership, telemetry, authorization, evaluation, and evidence systems. The result is not only technical exposure. It is an executive visibility problem.
Thesis
The minimum viable AI security control plane is an engineering system: inventory, risk tier, control, trace, test, approval, and evidence. Governance language is useful only when it becomes backlog and proof.
Operating Model
The conversion path.
02
Control
Map surfaces to authorization, logging, evals, abuse handling, data controls, approval gates, and human review paths.
03
Evidence
Capture traces, test results, control mappings, remediation records, and customer-safe artifacts that can survive review.
Workstreams
What the sprint produces.
Workstream 01
AI Surface Register
Build the first defensible inventory of LLM features, RAG endpoints, copilots, agents, embedded widgets, and shadow AI.
Owner map
Surface-risk tiers
Data-access notes
Unknown-owner backlog
Workstream 02
Control Mapping Sprint
Translate risk tiers into control requirements that engineering can implement and security can verify.
Control matrix
Approval gates
Telemetry requirements
Customer-evidence map
Workstream 03
Evidence Pack
Package screenshots, traces, logs, architecture notes, remediation status, and caveated claims for internal or customer review.
Executive brief
Evidence bundle
Remediation board
Claim-readiness notes
Deliverables
Artifacts that survive review.
AI surface inventory and risk-tier register
Control-to-evidence matrix
Remediation backlog with owner and priority
Customer-safe AI security evidence pack
Executive readout with caveated claim language
Proof system
- SecEng Surface Scanner for discovery and owner mapping
- SecEng Runtime Proxy for runtime evidence capture
- SecEng Adversarial Range for adversarial regression testing
- AIPSA scorecard alignment for benchmarkable gaps
Proof previews
Sample deliverables buyers can inspect.
These are the publication artifacts this brief should point to in a real engagement.
Related paths
Continue from brief to execution.
Deliverables produced
The artifacts this brief should lead to.
These are the sample publication artifacts buyers should inspect after reading the brief. They turn the brief into proof.
Caveat
Use this as operating-model guidance, not proof of any individual company's internal security maturity.