AI agents can retrieve data, call APIs, modify records, trigger workflows, and interact with systems on behalf of users.

The problem is no longer only: “Can the model generate the right answer?” It becomes: “Should this agent be allowed to perform this action?”

Agentic systems change the path

User↓AI Agent↓Multiple tools / APIs / MCP servers↓Enterprise systems

Unlike a fixed application flow, an agent may select tools dynamically, delegate actions, construct complex arguments, execute multi-step workflows, and produce sequences that are difficult to predict in advance.

A control plane for tool actions

Agent↓CustosIdentity → Policy → Approval → Execution → Audit↓Tool or API

Custos does not replace IAM. IAM establishes identity and access controls; Custos adds a governance layer around AI-driven tool actions at runtime.

Authority should be explicit

AI agents should not have unrestricted authority simply because they can technically access a tool. A governed path lets organizations make low-risk automation possible while keeping sensitive operations explainable and reviewable.

KEY TAKEAWAY

When software can act, the boundary between intent and execution deserves its own control layer.