Block AI Threats Before Unauthorized Change

Agentic AI security protects your systems from any unauthorized changes a deployed AI agent attempts, such as deleting data, altering configurations, or running commands it was never meant to run.

Securing the model governs what it says, while agentic AI security governs what a deployed agent is allowed to do to production. Mimic works on the second, stopping the unwanted changes an agent makes when it is prompted badly or hallucinating, regardless of how the model itself was built.

You still need agentic AI security, because endpoint detection was built to find slow intrusion campaigns that unfold over days or weeks. It was not designed for a machine-speed agent that makes changes in seconds with a valid credential, and that is the gap Mimic closes.

A second agent cannot defend against a malfunctioning agent, because a control over a malfunctioning agent has to be deterministic. A second agent is non-deterministic and can be prompted, confused, or hallucinate just like the one it watches, so Mimic enforces a fixed known-good model instead.

It protects against the unwanted changes a malfunctioning or badly prompted agent makes, such as deleted databases, wiped repositories, and unauthorized configuration changes. What matters is not whether the agent is malicious but whether its action falls outside the known-good model, and Mimic blocks any action that does.

Threat detection tries to recognize every possible bad action, a list that is effectively infinite, so it is always chasing the next attack. Known-good enforcement defines the finite set of known-good behavior instead and blocks anything outside it, so it never has to predict what an attacker or agent will try next.

AI agents act through the same legitimate pathways as authorized administrators, so controls at the application layer cannot tell an unauthorized agent change from an authorized one. The kernel is the layer every change must pass through, so enforcing there lets Mimic evaluate and block a change before it executes, below where an agent can disguise its behavior.

The same enforcement covers all three, because Mimic protects against unwanted changes whether they come from ransomware, an AI agent, or a person having a bad day. It treats every unauthorized change the same way: if the action falls outside the known-good model, it is blocked.

AI now finds and weaponizes vulnerabilities faster than vendors can patch them. Mimic's Virtual Patching does not depend on a vendor-supplied patch or a known signature. Every exploit still requires an unauthorized change to execute, and Mimic blocks that change at the kernel against the known-good model whether or not a fix exists yet.

You can see it in a guided live demo, where the Mimic team runs a real attack scenario against a protected environment and you watch enforcement stop it in real time. A hands-on evaluation is the fastest way to judge whether it fits your stack.

Enforcement happens in real time, at the kernel, before the unwanted change is completed, because each action is checked against the known-good model the instant it is attempted. Mimic works at machine speed precisely because human-in-the-loop review cannot react fast enough to a change that takes seconds.

Mimic allows every action that falls inside the known-good model defined for each system, so authorized automation keeps running. It only stops actions outside that model, which is what separates known-good enforcement from a blunt lockdown.

Mimic keeps a record of every attempted action and every block, so you can show leadership and auditors exactly what an agent tried to do and what was stopped.

Mimic blocks an unauthorized change before it executes, and where a change has already occurred it can roll the system back to a clean known-good state, so you are not left rebuilding from backups whose integrity status is unknown after the fact.

Mimic is FedRAMP Ready, which positions it to serve federal, defense, and critical-infrastructure buyers that cannot adopt uncertified technology. In regulated environments, that status can determine what you are even allowed to purchase.

Known-good enforcement protects what is supposed to be on a system instead of chasing the endless list of what should not. Mimic builds a verified model of each system's authorized files, processes, and actions, then blocks anything outside it, including unauthorized actions taken by AI agents.

An unwanted change is any modification to your systems that was not authorized, whether it comes from ransomware, a misconfigured or hallucinating AI agent, or a person making a mistake. Mimic treats all of them the same way and blocks the change when it falls outside the known-good model.

Assume breach is the principle that no single control can be trusted to stop every threat, so you design for the moment a control is bypassed or defeated. Mimic is built to be that last line of defense, staying useful when other controls have already been bypassed.

A deterministic defense behaves the same way every time, with no random behavior of its own. That matters with agents, because a defensive control built on an unpredictable model could be deceived or confused just like the agent it is meant to regulate. Mimic's enforcement is deterministic by design.