Agentless Behavioral Detection: Stopping Low and Slow Network Attacks Without Agents
Expose stealthy lateral movement, living-off-the-land tradecraft, and credential abuse with autonomous behavioral baselining across 100% of your network assets.
When cyber adversaries execute “Living off the Land” tactics—leveraging stolen credentials, built-in administrative tools, and legitimate command-line utilities—signature-based defenses remain completely blind. Security Operations Center (SOC) teams face two destructive outcomes: hyper-sensitive rules cause overwhelming alert fatigue, while overly relaxed detection thresholds create catastrophic blind spots.
The Mechanism of Autonomous Behavioral Baselining
To expose stealthy lateral movement without swamping analysts in false positives, network security must transition from static rule evaluation to autonomous behavioral baselining. Personam approaches threat detection by continuously observing how entities interact across the network substrate in real time.
Rather than requiring manual rule configurations or pre-packaged threat intelligence feeds, Personam catalogs over 200 distinct attributes governing entity resource utilization. The platform ingests native telemetry, including Port Mirror, NetFlow, IPFIX, and cloud VPC flow logs, without installing host agents.
Telemetry Flow & Noise Reduction Engine
Agentless Ingestion
Patented Multi-Level Analysis
Zero Rule Tuning Needed
Key Capabilities of Agentless Behavioral Detection
- 100% Device and User Visibility: Ingests network metadata across managed endpoints, unagentable IoT/OT devices, cloud workloads, and legacy infrastructure.
- Dynamic Behavioral Cohorts: Groups similar devices and user roles into peer cohorts, identifying abnormal drift without pre-defined policies.
- Multi-Level Behavioral Analysis: Evaluates subtle behavioral anomalies across multiple context layers, backed by Personam’s patented technology (US Patent 9,609,010 B2), to isolate malicious intent from operational network growth.
- Real-Time Reconnaissance Detection: Identifies unauthorized credential usage and lateral movement in real time at the network layer, accelerating threat investigation without host agents.
- High-Fidelity Signal, Not Alert Volume: Generates 3–5 high-confidence alerts per 1,000 devices per week rather than thousands of unverified alerts, eliminating SOC alert fatigue.
Agentless Deployment: Operational Security Within Hours
Deploying traditional security software across enterprise environments often requires months of endpoint agent rollouts, policy approvals, and system restarts. Unagentable assets—such as medical devices, industrial controllers, and third-party vendor hardware—frequently remain unmonitored blind spots under legacy architectures.
Personam eliminates deployment friction by operating completely agentless. Pointing existing NetFlow or cloud VPC flow feeds to the Personam Detector establishes continuous monitoring across 100% of networked assets within hours. The system automatically tunes itself, continuously updating baseline behavior without ongoing software maintenance or manual rule updates.
Restoring Precision to Security Operations
Security teams should spend their time investigating verified incidents rather than managing brittle detection tools. By grounding threat detection in objective network reality, Personam provides SOC analysts with pinpoint alerts detailing the exact device, user identity, and timestamp of anomalous behavior. The result is proactive network defense that isolates stealthy attacks before exfiltration occurs.
To evaluate autonomous behavioral baselining in your infrastructure, security leaders can launch a no-cost 30-day pilot. In less than half a day, Personam deploys agentlessly to baseline network behavior and expose active lateral movement with zero impact on operational workflows.