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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 →
Why Log Aggregation Fails: Real-Time Metadata-First NDR
Network Data Doesn't Lie

Why Log Aggregation Fails: Real-Time Metadata-First NDR

Log files are downstream, derivative, and easily cleared by adversaries. Learn how metadata-first NDR operates below log files to detect threats within seconds.

Chuck Faughnan III · September 4, 2026 Read →