Network diagrams cannot explain what an agent can read, infer, call, generate, or leak. The atlas turns every agent workflow into seven testable surfaces with attack paths, controls, owners, and board-ready evidence.
Your AI perimeter is wherever an agent can receive instruction, borrow identity, retrieve context, call a tool, execute in a runtime, create output, or leak through egress.
Each surface maps to an attacker path, a closure strategy, and an IMS deliverable. This is the operating map for agent trust.
Smuggle instructions through content the agent treats as context.
Instruction provenance, tool-policy separation, prompt-injection tests, and refusal evidence.
Instruction-control review and adversarial prompt path report.
IMS maps where untrusted inputs become trusted actions, then produces the evidence required to close the loop.
Agent trust does not replace Zero Trust. It extends the control boundary to instruction, context, tools, outputs, and data flow.
Find copilots, RAG systems, MCP servers, AI vendors, browser agents, and workflows with tool access. Assign every surface an owner.
Narrow identity scopes, isolate runtime, gate tools, tag sensitive context, define logging, and set egress rules before expansion.
Test high-value workflows, prove control behavior, document residual risk, and fund the roadmap in language leadership can use.
IMS assesses your AI estate against the seven surfaces and produces a prioritized, board-ready control roadmap.
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