
OT Network Traffic Analysis
FreeDeploy Nozomi sensors for passive OT network monitoring.
Free · Opens the source repo
What OT Network Traffic Analysis does
This skill facilitates the deployment of Nozomi Networks Guardian sensors specifically designed for passive monitoring of operational technology (OT) networks. It enables users to gain asset visibility, detect behavioral anomalies, and conduct protocol-aware monitoring across industrial control systems (ICS) without interrupting ongoing operations. This is particularly beneficial in environments where maintaining operational continuity is critical, such as in SCADA systems. The skill is intended for cybersecurity professionals and system administrators who are tasked with enhancing the security posture of OT environments.
The workflow begins with the deployment of Guardian sensors, which can be installed as hardware, virtual machines, or containers. Users are guided through the necessary prerequisites, including the configuration of network TAPs or SPAN ports for effective monitoring. The skill includes Python scripts that allow users to manage sensor deployments, validate their configurations, and analyze alerts. This ensures that users can effectively monitor their networks while adhering to compliance standards such as IEC 62443.
In addition to monitoring, the skill provides capabilities for retrieving alerts, discovered assets, and detected vulnerabilities, allowing users to maintain a comprehensive overview of their network's security status. By integrating with existing systems like Fortinet, Splunk, or ServiceNow, this skill can enhance the operational efficiency of OT security operations centers (SOC). Overall, this skill is a valuable tool for organizations looking to bolster their OT security without introducing disruption to their critical processes.
When to use it
Use this skill when deploying Nozomi Guardian sensors for OT network monitoring or when needing asset visibility in sensitive environments.
When not to use it
Avoid this skill for active vulnerability scanning or in environments using Dragos for monitoring.
What you can build with it
Deploying Guardian Sensors
Use this skill to set up Nozomi Guardian sensors for passive monitoring of your OT network.
Monitoring Compliance
Utilize the skill to ensure compliance with IEC 62443 network segmentation policies in your ICS.
Building an OT SOC
Leverage this skill to establish a Nozomi-based OT Security Operations Center with centralized management.
How to install OT Network Traffic Analysis
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/implementing-ot-network-traffic-analysis-with-nozomi --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Implementing 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]
Frequently asked questions about OT Network Traffic Analysis
Similar skills
Asset Criticality Scoring for Vulns
Prioritize vulnerabilities based on asset criticality.
Performing Alert Triage with Elastic SIEM
Streamline alert triage processes in Elastic Security.
Active Directory Vulnerability Assessment
Secure your Active Directory with comprehensive assessments.
Active Directory Investigation
Streamline your Active Directory compromise investigations.
Parsing Artifacts with Eric Zimmerman Tools
Efficiently parse Windows forensic artifacts for analysis.
Operationalizing MISP Threat Feeds
Enhance threat detection with curated MISP feeds.
