# Enterprise AI Security Evidence Pack Sample
Enterprise AI Security
Buyer-ready summary
This pack answers the AI security questions that slow enterprise procurement: data use, model provider boundaries, retrieval authorization, tool access, human oversight, logging, ownership, and remediation.
info
This is not a policy binder
The point is to give security reviewers evidence they can actually review. A policy says intent. This pack shows control.
Evidence pack
Control evidence summary
The evidence pack tracks implemented, partial, missing, and planned controls.
content/deliverables/data/evidence-pack-controls.sample.json
Synthetic sample evidence pack for answering enterprise AI security review, procurement, legal, and trust-center questions.
implemented
12
partial
8
missing
4
planned
5
retrieval authorization evidenceagent permission matrix completionAI trace retention and access policybuyer-ready model provider boundary statement
AI system inventory
implemented
Model provider boundary statement
partial
Gateway-only model access
implemented
Authorization-preserving retrieval
partial
Prompt injection and retrieval abuse testing
partial
Agent tool permission policy
partial
Human approval for sensitive actions
partial
AI trace logging
implemented
Buyer question
Is customer data used to train foundation models?
draft · Vendor Management
Buyer question
Can a user receive information through AI that they cannot access directly?
partial · Search Platform
Buyer question
Can the AI system take actions in customer environments?
partial · AI Platform Engineering
Buyer question
Can AI interactions be audited?
implemented · Security Engineering
Evidence
AI System Inventory Record
available · Product Security
Evidence
Model Routing Architecture
available · AI Platform Engineering
Evidence
RAG Authorization Test Plan
needs-validation · Search Platform
Evidence
Agent Tool Permission Matrix
draft · AI Platform Engineering
Evidence
AI Trace Schema
available · Security Engineering
## Buyer questions
Buyer question answer map
| Buyer question | Evidence artifact | Owner |
|---|---|---|
| Is customer data used for model training? | Provider boundary statement | Trust / Legal |
| Can retrieval bypass authorization? | RAG authorization tests | AI Platform |
| Can the agent take actions? | Permission matrix | AI Platform |
| What human oversight exists? | Approval context bundle | Product Operations |
| What is logged? | AI trace schema | Security Engineering |
## Control map
Control map
AI control map
A control map connects buyer questions to evidence, ownership, and implementation status.
content/deliverables/data/evidence-pack-controls.sample.json
Synthetic sample evidence pack for answering enterprise AI security review, procurement, legal, and trust-center questions.
AI system inventory
implemented
Model provider boundary statement
partial
Gateway-only model access
implemented
Authorization-preserving retrieval
partial
Prompt injection and retrieval abuse testing
partial
Agent tool permission policy
partial
Human approval for sensitive actions
partial
AI trace logging
implemented
Decision · conditional
Sales readiness decision
Use this pack in enterprise review once the model provider statement, retrieval authorization evidence, and permission matrix are complete.