Boundary maps and hardening checklists tuned to AI-era risk.
AI agents, third-party providers, and generated code expand the boundary surface of a system. Security review here means mapping those boundaries explicitly and hardening them — not adding a generic checklist at the end.
For teams operating AI-assisted systems, agents with tool access, or data pipelines crossing provider boundaries who need architectural-level security review.
Security failures in AI-era systems rarely look like classic vulnerabilities. They look like an agent calling a tool it should not have, a prompt leaking through a log, or a provider receiving data it should never have seen.
We map system and trust boundaries, review AI provider routing, scope tool permissions, and produce a hardening checklist sized to the system. Recommendations are practical, prioritized, and aligned with the team's delivery capacity.
- 01
Boundary map
Explicit map of users, services, providers, agents, tools, and data domains — and what crosses each boundary.
- 02
AI provider routing review
What data leaves the system, to which providers, under which terms, and how it can be limited.
- 03
Agent permission scoping
Tool access, secrets handling, and failure modes for any agent acting on real data.
- 04
Hardening checklist
Prioritized, system-specific actions — not a generic OWASP copy.
Where data crosses — and how each crossing is controlled.
- B1
User → app
auth · session · input shape
- B2
App → data
access control · audit trail
- B3
App → AI provider
what leaves · what returns
- B4
Agent → tools
scoped permissions · logs
- B5
App → 3rd-party
vendor boundary · contracts
- B6
Ops → system
secrets · keys · admin actions
- 01System and trust boundary map
- 02AI provider routing and data exposure review
- 03Agent permission and tool-access review
- 04Prioritized hardening checklist
Service areas that use this technical foundation
Background on this topic
- Architecture
AI agents are becoming a new security boundary
Agents with tool access and provider routing expand the boundary surface of a system. Security review has to follow them, not just the API perimeter.
- Healthcare
Healthcare-aware AI architecture is not a feature
Healthcare-aware design has to live in data flow, provider routing, and access boundaries — not in a checkbox added to a finished system.
- Architecture
AI governance starts in the product workflow
Governance that only lives in policy documents does not survive production. It has to live in the way features are scoped, built, and reviewed.
Security review supports practical hardening and risk reduction. It does not constitute a formal certification, audit, or legal compliance opinion.
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