Anthropic-Cybersecurity-Skills/skills/implementing-ot-network-traffic-analysis-with-nozomi/SKILL.md

name, description, domain, subdomain, tags, version, author, license, nist_ai_rmf, atlas_techniques, nist_csf, mitre_attack

name	description	domain	subdomain	tags	version	author	license	nist_ai_rmf	atlas_techniques	nist_csf	mitre_attack
implementing-ot-network-traffic-analysis-with-nozomi	Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis to achieve comprehensive asset visibility, real-time threat detection, and vulnerability assessment across industrial control systems without disrupting operations, leveraging behavioral anomaly detection and protocol-aware monitoring.	cybersecurity	ot-ics-security	ot-security ics nozomi guardian network-monitoring asset-visibility anomaly-detection ndr	1.0	mahipal	Apache-2.0	MEASURE-2.7 MAP-5.1 MANAGE-2.4	AML.T0070 AML.T0066 AML.T0082	PR.IR-01 DE.CM-01 ID.AM-05 GV.OC-02	T1078 T1190 T1059 T0816 T0836

Implementing OT Network Traffic Analysis with Nozomi

When to Use

• When deploying passive OT network monitoring using Nozomi Networks Guardian sensors
• When requiring asset visibility without active scanning in sensitive ICS environments
• When building a Nozomi-based OT SOC with centralized management via Vantage or CMC
• When integrating OT network monitoring with Fortinet, Splunk, or ServiceNow ecosystems
• When monitoring compliance with IEC 62443 network segmentation policies

Do not use for active vulnerability scanning of OT devices (see performing-ot-vulnerability-scanning-safely), for environments standardized on Dragos (see implementing-dragos-platform-for-ot-monitoring), or for IT-only network monitoring.

Prerequisites

• Nozomi Networks Guardian sensor (hardware, VM, or container)
• Network TAP or SPAN port configured on monitored OT network segments
• Nozomi Vantage (cloud) or Central Management Console for multi-sensor management
• Nozomi Threat Intelligence subscription for updated detection signatures
• Network architecture documentation for sensor placement planning

Workflow

Step 1: Deploy Guardian Sensors for Passive Monitoring

#!/usr/bin/env python3
"""Nozomi Guardian Deployment Manager and Alert Analyzer.

Manages Nozomi Guardian sensor deployment validation, asset inventory
extraction, and threat alert analysis for OT environments.
"""

import json
import sys
from collections import defaultdict
from datetime import datetime
from typing import Dict, List, Optional

try:
    import requests
except ImportError:
    print("Install requests: pip install requests")
    sys.exit(1)


class NozomiGuardianManager:
    """Manages Nozomi Networks Guardian for OT monitoring."""

    def __init__(self, guardian_url: str, api_token: str, verify_ssl: bool = False):
        self.guardian_url = guardian_url.rstrip("/")
        self.session = requests.Session()
        self.session.headers.update({
            "Authorization": f"Bearer {api_token}",
            "Content-Type": "application/json",
        })
        self.session.verify = verify_ssl

    def get_nodes(self, node_type: Optional[str] = None) -> List[Dict]:
        """Retrieve discovered network nodes (assets)."""
        params = {}
        if node_type:
            params["type"] = node_type
        resp = self.session.get(f"{self.guardian_url}/api/v1/nodes", params=params)
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_alerts(self, severity: str = "high", limit: int = 100) -> List[Dict]:
        """Retrieve security alerts."""
        params = {"severity": severity, "limit": limit, "status": "open"}
        resp = self.session.get(f"{self.guardian_url}/api/v1/alerts", params=params)
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_links(self) -> List[Dict]:
        """Retrieve communication links between nodes."""
        resp = self.session.get(f"{self.guardian_url}/api/v1/links")
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_vulnerabilities(self) -> List[Dict]:
        """Retrieve detected vulnerabilities."""
        resp = self.session.get(f"{self.guardian_url}/api/v1/vulnerabilities")
        resp.raise_for_status()
        return resp.json().get("result", [])

    def validate_deployment(self):
        """Validate Guardian sensor deployment and coverage."""
        print(f"\n{'='*65}")
        print("NOZOMI GUARDIAN DEPLOYMENT VALIDATION")
        print(f"{'='*65}")
        print(f"Guardian URL: {self.guardian_url}")
        print(f"Validation Time: {datetime.now().isoformat()}")

        # Check system status
        try:
            resp = self.session.get(f"{self.guardian_url}/api/v1/system/status")
            if resp.status_code == 200:
                status = resp.json()
                print(f"\n--- SYSTEM STATUS ---")
                print(f"  Version: {status.get('version', 'N/A')}")
                print(f"  Uptime: {status.get('uptime', 'N/A')}")
                print(f"  Packets Processed: {status.get('packets_processed', 'N/A')}")
                print(f"  Threat Intelligence: {status.get('threat_intelligence_version', 'N/A')}")
        except requests.RequestException as e:
            print(f"  [!] System status unavailable: {e}")

        # Asset discovery summary
        nodes = self.get_nodes()
        print(f"\n--- ASSET DISCOVERY ---")
        print(f"  Total Nodes Discovered: {len(nodes)}")

        type_counts = defaultdict(int)
        vendor_counts = defaultdict(int)
        protocol_set = set()
        for node in nodes:
            type_counts[node.get("type", "unknown")] += 1
            vendor_counts[node.get("vendor", "Unknown")] += 1
            for proto in node.get("protocols", []):
                protocol_set.add(proto)

        print(f"\n  By Type:")
        for ntype, count in sorted(type_counts.items(), key=lambda x: -x[1]):
            print(f"    {ntype}: {count}")

        print(f"\n  By Vendor:")
        for vendor, count in sorted(vendor_counts.items(), key=lambda x: -x[1])[:10]:
            print(f"    {vendor}: {count}")

        print(f"\n  Protocols Observed: {', '.join(sorted(protocol_set))}")

        # Alert summary
        alerts = self.get_alerts(severity="high")
        print(f"\n--- ALERT SUMMARY ---")
        print(f"  High/Critical Alerts: {len(alerts)}")

        alert_types = defaultdict(int)
        for alert in alerts:
            alert_types[alert.get("type_id", "unknown")] += 1

        for atype, count in sorted(alert_types.items(), key=lambda x: -x[1])[:10]:
            print(f"    {atype}: {count}")

        # Vulnerability summary
        vulns = self.get_vulnerabilities()
        print(f"\n--- VULNERABILITY SUMMARY ---")
        print(f"  Total Vulnerabilities: {len(vulns)}")

        sev_counts = defaultdict(int)
        for vuln in vulns:
            sev_counts[vuln.get("severity", "unknown")] += 1

        for sev in ["critical", "high", "medium", "low"]:
            if sev in sev_counts:
                print(f"    {sev.capitalize()}: {sev_counts[sev]}")

    def analyze_communication_patterns(self):
        """Analyze OT communication patterns for anomalies."""
        links = self.get_links()
        nodes = {n.get("id"): n for n in self.get_nodes()}

        print(f"\n--- COMMUNICATION ANALYSIS ---")
        print(f"  Total Communication Links: {len(links)}")

        # Identify cross-zone communications
        cross_zone = []
        for link in links:
            src_node = nodes.get(link.get("source_id"), {})
            dst_node = nodes.get(link.get("destination_id"), {})
            src_zone = src_node.get("zone", "unknown")
            dst_zone = dst_node.get("zone", "unknown")

            if src_zone != dst_zone and src_zone != "unknown" and dst_zone != "unknown":
                cross_zone.append({
                    "source": src_node.get("label", "Unknown"),
                    "source_zone": src_zone,
                    "destination": dst_node.get("label", "Unknown"),
                    "dest_zone": dst_zone,
                    "protocols": link.get("protocols", []),
                })

        if cross_zone:
            print(f"\n  Cross-Zone Communications: {len(cross_zone)}")
            for comm in cross_zone[:10]:
                print(f"    {comm['source']} ({comm['source_zone']}) -> "
                      f"{comm['destination']} ({comm['dest_zone']}) "
                      f"via {', '.join(comm['protocols'])}")


if __name__ == "__main__":
    manager = NozomiGuardianManager(
        guardian_url="https://nozomi-guardian.plant.local",
        api_token="your-api-token",
    )

    manager.validate_deployment()
    manager.analyze_communication_patterns()

Key Concepts

Term	Definition
Guardian	Nozomi Networks passive sensor that monitors OT network traffic via SPAN/TAP without generating additional traffic
Vantage	Nozomi cloud-based central management platform for aggregating data across multiple Guardian sensors
Behavioral Anomaly Detection (BAD)	Nozomi's AI-driven approach to detecting deviations from learned normal OT network behavior
Smart Polling	Nozomi's active query feature using native protocols to safely extract additional device details
Asset Intelligence	Nozomi's automatic identification and classification of OT/IoT assets from network traffic
Threat Intelligence Feed	Nozomi Labs-maintained feed of OT-specific threat indicators, updated based on global honeypot data

Output Format

NOZOMI GUARDIAN OT MONITORING REPORT
=======================================
Site: [site name]
Date: YYYY-MM-DD

ASSET VISIBILITY:
  Total Assets: [count]
  PLCs: [count] | HMIs: [count] | Switches: [count]
  Protocols: [list]
  Vendors: [top 5]

THREAT DETECTION:
  Critical Alerts: [count]
  High Alerts: [count]
  Top Alert Categories: [list]

VULNERABILITIES:
  Critical: [count]
  High: [count]

NETWORK ANALYSIS:
  Communication Links: [count]
  Cross-Zone Flows: [count]