Nozomi Networks Platform

Groups related network alerts into structured incidents that reconstruct an attack across hosts and time, reducing alert volume and giving analysts a single investigation timeline instead of disconnected events.

Extends network detection to cloud VPC traffic using VPC flow log analysis, cloud-native sensors, or mirroring, covering east-west traffic between cloud workloads.

Builds per-device and per-application baselines of normal network communication patterns and detects deviations, enabling detection of novel C2 channels, data staging, and lateral movement.

Integrates with firewalls, NAC platforms, and switches to automatically block or quarantine hosts and traffic flows in response to confirmed detections, without requiring analyst-initiated action.

Monitors lateral movement traffic between internal network segments and hosts, distinct from perimeter monitoring. Requires network tap or span port placement on internal switch infrastructure.

Detects threats in TLS-encrypted traffic using JA3/JA3S fingerprinting, certificate anomaly detection, and traffic behavioral analysis, without requiring decryption.

Performs deep packet inspection on industrial protocols (Modbus, DNP3, EtherNet/IP, PROFINET, IEC 61850, OPC-UA), for behavioral monitoring of OT environments alongside IT network analysis.

Detects threats using intelligence feeds from internal and external sources.

Uses an AI-based search assistant to accelerate threat hunting and surface actionable insights.

Maps network topology, identified vulnerabilities, and detected anomalies to IEC 62443 zone and conduit requirements and security level targets.

Monitors ICS network traffic by analyzing span port or tap data without injecting any traffic, critical for environments where active probing can cause PLC faults or safety system trips.

Inspects industrial protocols (Modbus, DNP3, IEC 61850, EtherNet/IP, PROFINET, OPC-UA, BACnet) at function-code level for commands and configuration changes. Coverage breadth and inspection depth (command-level function code analysis vs. packet-level header parsing) both vary across ICS security products and are primary evaluation criteria.

Provides a single platform for monitoring both enterprise IT and OT network segments, enabling unified SOC operations without separate monitoring tooling for each domain.

Identifies device vulnerabilities by fingerprinting asset type, firmware version, and protocol implementation from passive traffic observation, no active scan that could disrupt device operation.

Models expected behavior of safety-instrumented systems (SIS) separately from process control systems, preventing false alerts on normal SIS state machine transitions.

Builds ICS asset inventories (PLCs, RTUs, HMIs, engineering workstations) from passive network observation without probes that could disrupt operations.

Discovers OT/ICS assets by analyzing existing network traffic (Modbus polls, Profinet broadcasts, EtherNet/IP connections), without sending any probe packets that could disrupt device operation.

Dissects OT protocol payloads at the function code level, detecting unauthorized read/write operations, unusual register ranges, and firmware upload commands in Modbus, DNP3, EtherNet/IP, PROFINET, and OPC-UA traffic.

Baselines normal device communication patterns (command frequency, connection pairs, timing), and alerts on deviations, detecting reconnaissance, manipulation, and lateral movement.

Maps actual traffic flows between IT and OT zones and between Purdue model levels, revealing unauthorized cross-zone connections and segmentation failures.

Classifies discovered assets and traffic flows into Purdue Model levels (Level 0-4), supporting IEC 62443 zone and conduit documentation and compliance assessment.

Forwards enriched OT security alerts into enterprise SIEM and SOAR platforms with OT-specific context, enabling unified SOC operations without requiring OT-specialized analysts.

Identifies and prioritizes vulnerabilities across discovered OT and ICS assets using device, firmware, and exposure context, recommending safe, operationally feasible remediation or compensating controls for environments where patching is constrained.

Discovers and fingerprints purpose-built connected devices (printers, cameras, infusion pumps, smart meters, building systems), classifying make, model, OS, firmware, and function, including unmanaged devices that cannot run an endpoint agent.

Identifies, prioritizes, and helps remediate device vulnerabilities, including outdated firmware and exposed network services, across the connected-device fleet.

Assesses overall device-ecosystem risk (device trustworthiness, exposure, and operational context) as a continuous posture, distinct from per-CVE vulnerability management.

Generates and enforces least-privilege network segmentation and microsegmentation policies for devices, with pre-deployment impact assessment so new policies do not break device operations.

Monitors device behavior and network traffic to detect anomalies, exploits, and threats targeting connected devices.