Build an Access Control Gateway for AI Agents

1. 1

   Start with the inventory nobody has

   The first deliverable is a map: which agents and MCP servers exist across the org, what credentials each holds, which scopes are granted versus actually used, and which connections are over-provisioned. This scan alone is a sellable assessment, and its findings (there are always findings) create the urgency that sells the gateway. Note that this bank's agentic-ai-security-service card covers the consulting version of this work; this card is the product play, and the two can feed each other.

2. 2

   Build the proxy where policy can live

   Route agent tool calls through a gateway that enforces per-agent, per-action policy: allow, deny, or hold for human approval. Approval gates on destructive and financial actions (send, delete, pay, share externally) are the feature buyers describe wanting before you finish the sentence. Keep latency negligible and offer a monitor-only mode so adoption never requires a leap of faith.

3. 3

   Make the audit trail exam-ready

   Every agent action logged with the who (which agent, on whose behalf), the what, the scope used, and the policy decision, retained and exportable. Compliance frameworks and cyber insurers are starting to ask how AI actions are governed; being the clean answer to that question is half the purchase justification.

4. 4

   Meet the ecosystem where it standardizes

   Support the major agent frameworks and the MCP standard first, since that is where integration sprawl concentrates, and track the identity providers' emerging agent-identity features so you complement rather than collide. Speed of coverage as new connectors appear is a real moat in a young ecosystem.

5. 5

   Land with the scan, expand with the gateway

   Sell a low-friction assessment to security leads at companies visibly adopting agents, then convert to the runtime subscription priced per governed agent or connection. Design partners in fintech, healthcare, and legal, where audit pressure is native, will shape the roadmap in the right direction.

6. 6

   Publish the over-scoping research

   Aggregate, anonymized findings about how over-permissioned typical agent deployments are make credible, citable security research. In security, the company that publishes the uncomfortable numbers becomes the category's reference point, and inbound follows.

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