Engineering The New Perimeter

The agent is now the control point.

Your AI perimeter is wherever an agent can read, decide, act, or leak. IMS maps that perimeter, tests it adversarially, and turns it into controls your CISO, CIO, AI leaders, and board can defend.

Open the attack-surface atlas Map your perimeter

“Prompt injection is not a model problem. It is a delegation problem.”

IdentityAgents inherit authority faster than governance can see it.

ContextDocuments, memory, and RAG become instruction channels.

ToolsMCP and APIs convert language into enterprise action.

EgressLogs, vendors, and telemetry become leak paths.

Attack-surface atlas

Seven surfaces. One perimeter. No hand-waving.

The IMS framework turns AI security from a vague governance discussion into an operating map of what can be exploited, what must be controlled, and who owns the risk.

Instruction

Prompt control, hidden policy, tool descriptions.

Identity

Agent authority, OAuth scope, service accounts.

Tool

MCP, SaaS actions, APIs, automation paths.

Runtime

Sandbox, host, packages, network reachability.

Output

Emails, commits, tickets, code, decisions.

Egress

Telemetry, providers, logs, retention, exfil.

3-minute diagnostic

Map your AI perimeter before the next agent ships.

Answer seven questions. Get an exposed-surface count. If the score is uncomfortable, send the map to IMS and request the two-week assessment.

Current exposure 0/7 surfaces selected

Select every capability your agents have today.

Name

Work email

Company

Agents read untrusted prompts, docs, tickets, pages, or messages. Agents inherit service accounts, OAuth scopes, or delegated user authority. Agents retrieve context from RAG, memory, browsers, or internal documents. Agents can call tools, MCP servers, APIs, SaaS actions, or browsers. Agent runtimes have network reach, packages, filesystem, or execution privileges. Agent output becomes emails, tickets, commits, reports, or customer-visible content. Logs, telemetry, vendors, or model providers receive sensitive AI workflow data.

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What the assessment produces

Not a slide deck. A defensible control map.

The engagement produces artifacts executives can fund and engineers can act on.

Sample artifact

Seven-surface heatmap

InstructionIdentityContextToolRuntimeOutputEgress

Executive brief

Board-ready risk narrative

“The riskiest AI system in your company will not look dangerous. It will look useful, connected, and under-governed.”

Remediation

90-day control roadmap

Inventory agents and MCP servers
Narrow identity and tool scope
Red-team context-to-action paths

Authority engine

Field notes built to be quoted, linked, and used Monday morning.

Browse insights

Anchor

The New Perimeter: A Framework for Securing AI in the Enterprise

The canonical attack-surface atlas for the practice.

Read → Technical

MCP Security: What Your Model Context Protocol Servers Are Exposing

MCP turns language into authority. Treat it like a security boundary.

Read → Defense

Prompt Injection Attacks: An Enterprise Defense Guide

Why output filtering is not a control strategy.

Read →

Primary conversion

Know where your AI perimeter actually is.

Request a two-week AI Security Posture Assessment for your agents, copilots, RAG systems, MCP servers, and AI vendors.

Request assessment