Boundary maps and hardening checklists for AI-era risk.
When you add AI agents, external providers, or generated code, your system gets more connection points and more places where trust can break down. A useful security review maps those boundaries, shows what crosses them, and strengthens weak spots before they become incidents.
For teams running AI-assisted systems, agents with access to tools, or data flows that move between providers and need a security review at the architecture level.
In AI-based systems, security problems often come from behavior and data flow, not only from classic software bugs. An agent may use a tool it should not have, a prompt may end up in logs, or a provider may receive data that should have stayed inside your system.
We map the trust boundaries in your system, check how data and requests move through AI providers, define what each tool is allowed to do, and prepare a hardening checklist that fits the system you actually have. You receive practical recommendations in a clear order, sized to what your team can realistically implement.
- 01
Boundary map
A clear map of your users, services, providers, agents, tools, and data areas, including what moves from one boundary to another.
- 02
AI provider routing review
What data leaves the system, which providers receive it, under what terms, and how that flow can be limited.
- 03
Agent permission scoping
Tool access, secret handling, and failure modes for any agent acting on real data.
- 04
Hardening checklist
Prioritized actions for this system — 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 that can call tools and route requests to different providers increase the number of places where a system can be exposed. Security review needs to cover those paths too, not just the API edge.
- Healthcare
Healthcare-aware AI architecture is not a feature
If you build for healthcare, data flow, provider routing, and access limits need to reflect those requirements from the start. You cannot bolt them on at the end and expect the system to behave correctly.
- Architecture
AI governance starts in the product workflow
Policy documents are not enough on their own. Governance has to show up in how features are defined, built, and reviewed before they reach production.
This security review is meant to help you reduce risk and harden the system in practical ways. It is not a formal certification, a compliance audit, or a legal opinion.
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