Personam was built for the insider threat problem as government defines it: detection that does not depend on signatures, on agents running where they cannot run, or on a credential being trustworthy. That requirement shaped the architecture, and it is the same architecture running commercially today.
Government networks are among the most heavily controlled environments in existence, and that is precisely the problem. Once an actor holds a valid credential, every control in the path confirms they belong. Access is authorized. Authentication succeeds. The activity is indistinguishable from work.
For high-sensitivity environments, Personam runs fully on-premise inside your network: no cloud data plane, no telemetry egress, updates delivered as software installs. Standard deployments send only encrypted metadata to the Personam cloud.
Personam observes network behavior from a mirror port. Systems that cannot accept software, cannot be patched, or cannot be touched at all are still fully monitored.
Behavior is compared against each entity’s own established baseline and against its peers. There is no feed to subscribe to and no rules to author for threats nobody has seen.
Personam surfaces a prioritized investigation and waits for a person to decide. It does not take autonomous action on any system, which matters where an automated response carries consequences.
A valid account authenticating successfully, then reaching systems and data outside anything that account has touched before.
An authorized person whose access scope expands quietly past their peer group. Every action permitted, the pattern unlike their own history.
Third-party connections that behave differently from every prior session on the same account, including access to systems outside the engagement.
Administrative utilities already present in the environment, used by an account that has never used them, moving toward systems it has never reached.
The fastest way to evaluate Personam is to point it at a mirror port and see what surfaces in your environment.
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