# 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.
Note
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.
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
Product Security"What AI features are in scope for this product?"
Model provider boundary statement
partial
Vendor Management"Is customer data used to train third-party models?"
Gateway-only model access
implemented
AI Platform Engineering"Can product services call the model provider directly?"
Authorization-preserving retrieval
partial
Search Platform"Can the AI system retrieve data the user cannot access directly?"
Prompt injection and retrieval abuse testing
partial
Product Security"Do you test the AI feature against prompt injection and context manipulation?"
Agent tool permission policy
partial
AI Platform Engineering"What actions can the AI system take?"
Human approval for sensitive actions
partial
Product Operations"Which AI actions require human review?"
AI trace logging
implemented
Security Engineering"Can you reconstruct AI decisions and tool actions?"
Buyer question
draft
Is customer data used to train foundation models?
Vendor Management
Buyer question
partial
Can a user receive information through AI that they cannot access directly?
Search Platform
Buyer question
partial
Can the AI system take actions in customer environments?
AI Platform Engineering
Buyer question
implemented
Can AI interactions be audited?
Security Engineering
inventory
AI System Inventory Record
available · Product Security
architecture
Model Routing Architecture
available · AI Platform Engineering
test-evidence
RAG Authorization Test Plan
needs-validation · Search Platform
matrix
Agent Tool Permission Matrix
draft · AI Platform Engineering
logging-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.
Synthetic sample evidence pack for answering enterprise AI security review, procurement, legal, and trust-center questions.
AI system inventory
implemented
"What AI features are in scope for this product?"
Model provider boundary statement
partial
"Is customer data used to train third-party models?"
Gateway-only model access
implemented
"Can product services call the model provider directly?"
Authorization-preserving retrieval
partial
"Can the AI system retrieve data the user cannot access directly?"
Prompt injection and retrieval abuse testing
partial
"Do you test the AI feature against prompt injection and context manipulation?"
Agent tool permission policy
partial
"What actions can the AI system take?"
Human approval for sensitive actions
partial
"Which AI actions require human review?"
AI trace logging
implemented
"Can you reconstruct AI decisions and tool actions?"
Decision · conditional
Sales readiness decision
Use this pack in enterprise review once the model provider statement, retrieval authorization evidence, and permission matrix are complete.