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Insights from the network layer.

Threat analysis, product thinking, and security research from the Personam team.

Healthcare Agentless Behavioral Threat Detection Architecture
Network Data Doesn't Lie

Healthcare Agentless Behavioral Threat Detection Architecture

Agentless behavioral threat detection turns raw network telemetry into actionable intelligence, revealing insider threats and credential misuse across healthcare networks without endpoint software agents.

Chuck Faughnan III · September 4, 2026 Read →
Detecting Living-off-the-Land Lateral Movement | Personam AI
Network Data Doesn't Lie

Detecting Living-off-the-Land Lateral Movement | Personam AI

Adversaries using legitimate administrative tools often bypass legacy EDR and SIEM defenses. Unsupervised network behavioral AI detects subtle cohort anomalies to intercept lateral movement before…

Chuck Faughnan III · September 4, 2026 Read →
Beyond Log Files: Behavioral Baselining for Credential Abuse
Healthcare Security

Beyond Log Files: Behavioral Baselining for Credential Abuse

Traditional SIEM log analysis and static correlation rules are blind to attackers operating with valid credentials. Continuous behavioral baselining inspects network traffic layers below log…

Chuck Faughnan III · August 27, 2026 Read →