The next security perimeter is not only the network. It is the agent with credentials.
Anubis is building the verification and control layer for that perimeter , so a company can connect agents to real systems without giving up the ability to review, limit, and revoke what they do.
Agents are becoming workers with logins.
Companies are connecting AI agents to CRMs, inboxes, databases, finance systems, and internal workflows. These agents arrive with credentials, access to sensitive data, and the ability to take actions on their own.
When the thing taking actions moved from a person at a desk to an agent in a pipeline, the thing that needs securing moved with it. The perimeter is no longer only the network edge. It is the agent and what its keys can reach.
We onboard people more carefully than agents.
Before a person gets access to internal systems, a company verifies who they are, what role they hold, which permissions they need, and what risk they introduce , and keeps a record of it.
Most agents get a key and a prompt. No background check on the source, no behavioral test, no approval trail, no runtime control, and no audit evidence. The same access, with far less scrutiny.
Access should be earned, scoped, and reversible.
An agent should prove its source, pass behavioral tests, run on least privilege, and leave evidence behind. Every action it takes should be explainable and every grant should be revocable.
Anubis exists to make that the default rather than the exception , without becoming the reason a team stops shipping agents. The goal is not to slow AI down. It is to make agent access safe to operate.
Four operating principles.
Evidence over assurances
A decision is only as good as the record behind it. Checks, approvals, and blocks are preserved, not promised.
Least privilege by default
An agent gets the narrowest scope that lets it do its job, on credentials that expire , never standing access.
Reversible access
Any grant can be revoked across every connected system at once. Trust is something you can take back.
Explainable decisions
Every allow or block traces to a policy, a reason, and an identity. Nothing important is a black box.
Early, focused, and working with real agents.
Anubis is in private access with a small group of security, platform, and AI teams. We are not chasing a broad launch , we are working one real agent at a time, learning exactly where verification, approval, and runtime control earn their place.
If you are connecting agents to systems that matter, we would rather show you than pitch you.
Bring one real agent.
The best first session starts with one agent that already touches tools, data, or workflows. We run the verification together and show you what Anubis finds , the source, the risk, the decision, and the evidence.