The front door, watched.
Identity Threat Detection Across Okta, Entra & Google
Clean anomalies with full business context, investigated automatically across Okta, Entra, Google, and every downstream SaaS.
The front door, watched.
Clean anomalies with full business context, investigated automatically across Okta, Entra, Google, and every downstream SaaS.
A login without context is only a threshold.
An identity provider sees one threshold, not the full passage. It has its own log format, its own anomaly engine, and its own blind spots. It does not see what happened in the browser this morning, whether the employee who just logged in from an unrecognized device gave notice yesterday, or whether those credentials appeared in a breach database last week. Until the surrounding signals are gathered in one place, the picture remains partial.
Identity events are filtered through behavioral baseline and peer context before they rise to the surface. A login from a new location means one thing for a frequent traveler, and another for someone who has never left the office. Anzenna knows the difference.
When an identity signal warrants attention, Anzenna assembles the full picture automatically: login history, downstream SaaS activity, endpoint behavior, and HR context. Role, tenure, department, status, and peer group are carried into every investigation. The analyst arrives at a conclusion, not a clue.
Service accounts and OAuth tokens accumulate permissions quietly. AI agents inherit credentials and scopes with no natural limit. Anzenna watches the full identity surface: the person, the token, and the agent.
3,000+ anomalous IDP logins. Anzenna surfaced two real issues.
Fifteen-minute install. Read-only by default. No agents on endpoints.
Thirty minutes. Your environment, not our slides.
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