Sensitive Data Detection
Identify network traffic patterns consistent with sensitive data movement — PII, PHI, financial records, and proprietary data — without requiring deep packet inspection that creates privacy concerns.
Network Data Loss Prevention
Network DLP monitors and controls data movement across your entire network — catching sensitive data exfiltration through IoT devices, unauthorized cloud uploads, email leaks, and covert communication channels that endpoint tools completely miss.
The Concept
Traditional Data Loss Prevention (DLP) tools focus on endpoints — scanning files on managed laptops, monitoring email clients, and blocking USB ports. This approach works for managed devices with agent software installed.
But your network contains thousands of devices that cannot run agents: IP cameras that stream video to unknown destinations, industrial sensors that transmit telemetry over unauthenticated protocols, printers that could be configured to forward copies of documents, and countless other IoT devices that bypass endpoint DLP entirely.
Network DLP addresses this gap by monitoring data movement at the network level — capturing traffic patterns, protocol analysis, and data flow monitoring without requiring agent software on any device. Every device on the network is covered, regardless of whether it can run endpoint security software.
Comparison
Endpoint DLP
Network DLP
How It Works
Analyze traffic patterns, protocols, and communication destinations across your entire network — including traffic from devices that cannot run endpoint agents. Establish behavioral baselines for all device types.
Identify unusual data exfiltration patterns — large volume transfers, connections to unauthorized cloud services, unusual protocol usage, or data movement to unexpected external destinations.
Automatically block unauthorized data transmissions based on configurable policies. Stop devices from communicating with blacklisted destinations, block unapproved protocols, and prevent unauthorized data transfer before it completes.
Receive immediate alerts when DLP policy violations occur, complete with device identity, data volume, destination, protocol, and timeline. Enable rapid incident response with full forensic context.
Key Capabilities
Identify network traffic patterns consistent with sensitive data movement — PII, PHI, financial records, and proprietary data — without requiring deep packet inspection that creates privacy concerns.
Analyze traffic across HTTP, HTTPS, FTP, SMTP, DNS, and custom protocols. Detect data exfiltration through DNS tunneling, covert channels, and other protocol-based techniques attackers use to evade detection.
Monitor traffic from devices that endpoint DLP tools cannot reach — cameras, sensors, industrial systems, and network infrastructure. Detect when these devices are used as data exfiltration channels.
Configure automatic blocking when high-risk data movement is detected. Isolate devices involved in active exfiltration events. Generate immediate alerts for security team review and incident response.
Key Use Cases
Prevent unauthorized transmission of Protected Health Information (PHI) from clinical devices to external destinations. Monitor medical device network traffic for compliance with HIPAA's data transmission safeguards.
Monitor network traffic for unauthorized movement of Federal Tax Information (IRS 1075), Controlled Unclassified Information (CMMC), or other regulated data categories across your infrastructure.
Detect exfiltration of proprietary manufacturing processes, engineering designs, and operational data from OT environments. Industrial espionage often operates through network channels that endpoint tools miss.
Complete network data visibility — including devices endpoint tools can't reach.