AI agent governance

AI agent governance answers three questions about every agent operating in your estate: what can it reach, who is it acting as, and which of its actions need a human to say yes. Agents are the newest kind of non-human identity, and the most demanding. Unlike a service account with one job, an agent decides at runtime what to do, which makes the scope of its access the primary control.

Why existing controls fall short

Most agents authenticate through a person's OAuth grant or a shared API key, so their actions are indistinguishable from their sponsor's and their access is whatever the sponsor had, the opposite of least privilege. They also multiply faster than any prior identity type: every team can now wire up an agent in an afternoon, which is shadow IT with hands.

The shape of the control

Workable agent governance gives each agent its own identity rather than a borrowed one, scopes it to the entitlements its task needs, time-boxes anything sensitive (just-in-time rather than standing), and draws an explicit line between actions the agent may take alone and actions that come back for approval. That is the model Ploy's agent governance page lays out, and the same line Ploy draws for its own agent, Luna.