Detection that learns
Behaviour models for every host and identity, so a quiet anomaly stands out instead of hiding in the noise.
Mirsad watches every host, identity, and connection on your network. It flags what matters, drops what does not, and gives your team one place to respond.
Three stages run without pause. Each one narrows the noise so an analyst only sees what needs a human.
Agents and network sensors stream events from endpoints, identity, and cloud into one timeline.
Mirsad ties related events together and scores them, so ten alerts become one incident with a clear story.
Your analyst confirms, acts, and closes the loop, with every step written to an audit trail.
Behaviour models for every host and identity, so a quiet anomaly stands out instead of hiding in the noise.
Every alert arrives with the asset, the user, the technique, and the timeline already attached. No tab hunting, no pivoting between tools to piece the story together.
Isolate a host, disable an account, or block a source from the same screen where you saw the alert.
One agent reads across the surfaces attackers actually move through.
Data stays in your region, every action is logged, and the evidence is ready before the auditor asks for it.
The overview, the alert feed, the asset table, and a full incident drawer. All of it is live in the browser.
Open the console