For the past year, most teams working with agentic AI have focused on one question: can we build an agent that works. That question is largely answered. A harder one has taken its place.
Once agents work, teams build more of them. Before long, an organization has dozens or hundreds, spread across different teams. No one has a shared view of what exists, who owns each agent, or whether it has been reviewed. This is agent sprawl, and it looks a lot like the shadow IT problem of the last decade. The difference is that these agents can reach data and act on systems on their own, so the risk is higher and it grows faster.
What breaks when agents outpace oversight
Three problems show up as agent growth outpaces oversight.
Teams rebuild what already exists, because there is no shared catalog to check first. Useful agents and tools go unused, because the teams who could reuse them cannot find them. And control slips. Without a central record, no one can say who has access to an agent, whether it passed a security review, or how to trace a failure back to a version and an owner.
The last problem is the most serious. An agent that one team builds and leaves running, with no oversight, is unreviewed software with access to your systems and data. That is exactly what a security team needs to see, and usually cannot.
A single source of truth for your agents
AWS Agent Registry is built to close that gap. Now generally available as part of Amazon Bedrock AgentCore, it gives an organization one governed, searchable catalog for the agents, tools, and skills it runs.
The idea is simple. Teams publish what they build to the catalog. Other teams find it through semantic search and reuse it, instead of building their own. Governance sits around all of it: approval before anything becomes broadly available, a clear owner and lifecycle for each record, and a full audit trail through AWS CloudTrail. It works where developers already work, in their IDEs and CI/CD pipelines. And it can automatically detect agents already running across your AWS accounts and add them to the catalog, so the shadow agents governance usually misses become records that someone owns and reviews.
Governance works at two levels
A catalog is the foundation, not the whole answer. Governing an agentic estate means governing at two levels.
Each agent needs its own controls: guardrails that limit what it can say and do, and runtime security that watches how it behaves. The registry adds the level above that, a single view of every agent, who owns it, and whether it can be trusted. You need both. Knowing what an agent was approved to do means more when you can also see what it is doing in production.
This is the work we do at NileForge. We help organizations set up agent governance across AWS: the catalog and approval workflows that fit how your teams build, the guardrails and runtime controls that keep each agent in bounds, and the security review and audit trail that regulated environments require. For a bank or an insurer, where an agent can reach customer data, that is the difference between saying you have controls and being able to prove it.
Agentic AI will scale in most organizations whether the governance is ready or not. The ones that come out ahead will build the catalog and the controls early, while the estate is still small enough to get right. If that is where you want to be, talk to our team.