Governing the AI surfaces beyond chat
Most AI governance projects start with the chat endpoint and stop there. Meanwhile the highest-privilege callers in the organisation are elsewhere: in your repositories, in your productivity suite, and in tool calls that can act on real systems.
Why chat-only governance leaves holes
A policy that covers one endpoint on one channel is a partial control. The traffic that worries a security team is usually the traffic that never touches that endpoint.
- Agentic developer tooling running with repository and CI credentials
- Assistant hooks that call a model before a human reviews anything
- Tool invocations that change state rather than return text
Coding agents in the IDE and CI
Developer tooling is where adoption happens first and where governance usually arrives last. The pattern that works is the same one you use for the model API: point the tool at the governed path and let policy decide.
- Assistant hooks that request a verdict before inference, so policy applies to the assistant itself
- No changes to the developer workflow beyond a base URL or an approved hook
- Every request attributed to a person or a service identity, not a shared key
Tool calls as governed actions
A tool call is an action with arguments, not a message. Governing it means deciding, per identity, which tools may be invoked and with what content.
- Allow, block or mask by tool and by argument pattern
- Records that show the tool, the caller and the outcome
- One policy surface instead of per-client allowlists
Microsoft 365 Copilot admin and agent sync
Productivity copilots are governed twice: once where the user prompts, and once where the agent, catalogue and usage are administered. An app-only integration keeps the second half under your control.
- Catalogue and agent registry kept current
- Usage visibility alongside your other AI traffic
- No service account passwords scattered across admin scripts
One policy engine, one audit trail
The practical test of coverage is whether a single query answers: who called what, under whose identity, and what did policy decide? If that answer needs three systems, you do not have coverage yet.
- Employees in chat, engineers in the IDE, agents in CI, copilots in productivity tools
- Identical evaluation order for every channel
- One export path into your SIEM
Common questions
No. The productive approach is to keep the tool and route it through the governed path, so the developer experience is unchanged while identity, policy and audit apply.
Record the identity, the tool, the decision and the outcome, with truncated previews. That answers the audit question without creating a copy of what the agent was working on.
It should not. An app-only integration with the permissions you grant is the configuration to look for, because it avoids storing a human's credentials for automation.
Validate it yourself with our Technical Plan
A step-by-step guide to running your own proof of concept and a full head-to-head comparison, in your own environment, so you can decide on evidence rather than on a feature table.