Security that learns your normal
Rules only catch what someone has already described. Squirks learns what normal looks like in your own data and puts the few events that don’t fit at the top of the list. You don’t have to guess what attackers will try next.
Logs, network records, equipment output: any data, as it is. Nobody has to explain the format.
Squirks builds a baseline from your own data. No rules, no threat lists, no assumptions.
Every event is measured against that baseline. The few that don’t fit rise to the top, grouped so lookalikes are one line.
Cost follows the work, not how much you keep, so you can watch more.
Squirks learns normal from your data. There is nothing to author or maintain.
Ranked by how far they sit from normal, not by when they arrived.
Teams responsible for more systems than they can afford to watch closely, including the equipment and appliances that ordinary security tools can’t read. If you have data and not enough people to read it, Squirks decides what they should read first.