Resources

See what your network has been hiding.

Real-world whitepapers showing how behavioral analytics transforms hidden risks into actionable insight, across government, healthcare, and enterprise environments.

Five case studies. Five threats that should have been missed.

Personam reveals the unseen behaviors behind today's most dangerous cyber risks, from compromised credentials to insider abuse to ransomware. These cases show what behavioral AI catches that rule-based tools never could.

Government Agency

Preventing the Quiet Leak

A misconfigured server quietly sent sensitive financial data outside a U.S. government agency's network, completely invisible to traditional tools. Personam's peer-based behavioral analytics detected the anomaly in minutes, preventing a compliance breach.

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Government Contractor

Stopping Compromised Credentials

Stolen credentials operated undetected for weeks, bypassing firewalls, SIEMs, and antivirus. This case reveals how Personam exposed a credential-driven intrusion that looked perfectly normal to every other tool.

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Insider Threat

Stopping Insider Threats Before They Act

Personam's behavioral AI identified insider sabotage patterns through behavioral change rather than signatures or rules, while narrowing analyst review to a small fraction of total activity.

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Global Law Firm

Exposing the Trusted Insider

A senior partner began stealing client IP, and every traditional defense failed because the activity looked legitimate. Personam's behavioral analytics revealed the slow, subtle data-theft pattern hiding in plain sight.

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Healthcare, Adversarial Exercise

Stopping Ransomware Before It Disrupts Care

During an adversarial exercise at a U.S. hospital, behavioral analytics detected a simulated ransomware outbreak at the lateral movement stage, before encryption began.

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