AI Agent Security & Governance
I assess agent architecture, MCP and tool-use layers, IAM, and governance gaps for teams already running AI agents or preparing to put them into production.
The result is a fixed-fee, written assessment with prioritised findings and a remediation roadmap. I review the security and operating boundaries around agent actions so you can make informed decisions before gaps become incidents or audit issues.
What I deliver
- AI agent architecture review
- MCP & tool-use security audit
- IAM & access-path analysis
- Written findings with remediation roadmap
What the assessment covers
Agent systems create access paths and operating risks that ordinary application reviews often miss. I focus on those paths directly.
Agent architecture
Agent topology, memory, data flows, external APIs, and the systems each agent can reach.
MCP & tool use
Exposed tools, permissions, sensitive data access, trust boundaries, and controls around execution.
IAM & access paths
Service identities, credentials, roles, tokens, and whether least-privilege is actually enforced.
Governance & evidence
Logging, approval points, audit trails, operating policies, and a prioritised remediation roadmap.
How the engagement works
Scope
I confirm the agent stack, systems in scope, concerns, and the fixed-fee engagement boundary.
Review
I examine relevant architecture, configurations, documentation, access paths, and operating controls.
Assess
I map findings to risk, root cause, and practical remediation options.
Report & walkthrough
You receive written findings and a prioritised roadmap, followed by a direct walkthrough.