Walk into your next agent review able to say exactly what every agent can do, whose access it spends, who approved it and whether you can revoke it on demand. This is the reference that gets you there.
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The guide covers the access and action layer of AI agent security: what an agent can touch, under whose authority and how a security team accounts for it afterward. Each section answers one question a CISO faces before letting agents act inside company systems.
Section 2 · The threat model
The question it answersWhy does an agent with broad access turn ordinary tasks into exposure?
Two real incidents, a deleted production database and a zero-click data leak, show how ordinary agent behavior becomes a security event.
Section 3 · The gap
The question it answersWhy do role-based access, SOC 2 and audit logs miss AI agents?
The guide shows where role-based access, SOC 2 CC6, audit logging and ISO/IEC 42001 each break when the actor is an agent.
Section 4 · The framework
The question it answersWhat does secure AI agent implementation require?
Each dimension comes with what good looks like, how it fails and the question to put to any vendor or team.
Can you show every agent running right now, the apps it can access and its last full session?
If an agent's context is compromised, what credential does the attacker walk away with?
What evaluates a destructive action before it runs, and is the decision the same every time?
When does a person get interrupted, and what stops an injected prompt from faking an approval?
Can you export one complete agent session, with the human and the policy decision behind each action?
Where is each agent request evaluated, and what does the governing layer keep afterward?
Who created this agent, what access does it hold and how fast can all of it be revoked?
Section 5 · The architecture
The question it answersWhere should an agent control sit in the stack?
The guide compares a protocol gateway, SDK instrumentation, kernel monitoring and vendor integration, including the gateway approach Cakewalk builds.
Section 6 · The path
The question it answersWhere should a security team start with AI agent governance?
Visibility comes first, then the actions that cannot be undone, so a team does not have to fix everything at once.
Section 7 · In closing
The question it answersWhat can a security team do in its first ninety days?
Inventory the agents already running, gate destructive and external actions and remove standing secrets from agents that hold them.
Short on time? Read the free 14-minute summary of the guide, with three of the seven dimensions explained in full.
Read the summary →The guide covers all seven dimensions and the question to ask for each.
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