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Implementing Dragos Platform for OT Monitoring

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Deploy and configure Dragos for OT network security.

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What Implementing Dragos Platform for OT Monitoring does

The Implementing Dragos Platform for OT Monitoring skill provides a comprehensive solution for deploying and configuring Dragos sensors and detection analytics specifically for Operational Technology (OT) and Industrial Control Systems (ICS). This skill is designed to help organizations monitor their industrial environments effectively by utilizing industrial protocol parsers and threat intelligence packs to detect advanced persistent threats, including known threat groups such as VOLTZITE, CHERNOVITE, and KAMACITE. By leveraging this skill, users can enhance their OT security posture and ensure robust monitoring of their critical infrastructure.

This skill is particularly useful for organizations looking to establish an OT-specific network detection and response (NDR) solution or build an OT Security Operations Center (SOC). It integrates seamlessly with enterprise Security Information and Event Management (SIEM) systems, allowing for centralized monitoring and alerting. Users can also benefit from asset discovery and vulnerability management functionalities, all within a single platform, making it easier to manage and respond to threats in real-time.

To utilize this skill effectively, users must have the necessary prerequisites, including a valid Dragos Platform license, sensor hardware, and proper network configurations. The skill provides a Python interface to interact with the Dragos Platform API, allowing users to validate sensor deployments, retrieve asset and vulnerability information, and get real-time notifications about detected threats. This automation facilitates a streamlined workflow for maintaining OT security and enhances operational efficiency.

In summary, this skill is essential for organizations operating in industrial sectors that require specialized tools for OT security monitoring and threat detection. By implementing the Dragos Platform through this skill, users can significantly improve their ability to respond to emerging threats and protect their critical assets from cyber risks.

When to use it

Use this skill when setting up an OT-specific network detection and response solution or integrating OT monitoring into an enterprise SIEM.

When not to use it

This skill is not suitable for IT-only environments or for organizations using Claroty or Nozomi solutions.

What you can build with it

Setting Up an OT SOC

Use this skill to establish an OT Security Operations Center with tailored monitoring and response capabilities.

Integrating with Enterprise SIEM

Leverage this skill to integrate Dragos monitoring into existing enterprise SIEM solutions for enhanced visibility.

Deploying Threat Detection Solutions

Implement this skill to deploy a comprehensive threat detection solution for industrial control systems.

How to install Implementing Dragos Platform for OT Monitoring

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1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/implementing-dragos-platform-for-ot-monitoring --agent claude-code

2. 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 mukul975

Implementing Dragos Platform for OT Monitoring

When to Use

  • When deploying an OT-specific network detection and response (NDR) solution for industrial environments
  • When needing threat intelligence-driven detection against known ICS threat groups (VOLTZITE, CHERNOVITE, KAMACITE)
  • When building an OT SOC capability with purpose-built industrial security tooling
  • When requiring asset discovery and vulnerability management alongside threat detection in a single platform
  • When integrating OT security monitoring with an enterprise SIEM (Splunk, Sentinel, QRadar)

Do not use for IT-only network monitoring without ICS components, for endpoint detection and response (EDR) on OT workstations, or for environments standardized on Claroty or Nozomi (see respective skills).

Prerequisites

  • Dragos Platform license and deployment package
  • Network TAP or SPAN port at OT network boundaries (one sensor per monitored segment)
  • Dragos sensor hardware (physical appliance) or virtual appliance meeting minimum specifications
  • Firewall rules allowing sensor-to-Dragos-SiteStore communication (encrypted, outbound only from OT)
  • Dragos Knowledge Pack subscription for threat intelligence updates

Workflow

Step 1: Deploy Dragos Sensors and Configure Monitoring

#!/usr/bin/env python3
"""Dragos Platform Deployment Validator and Integration Tool.

Validates Dragos sensor deployment, checks connectivity, and
configures integration with enterprise SIEM for OT alert forwarding.
"""

import json
import sys
import csv
from datetime import datetime
from typing import Optional, List, Dict

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


class DragosPlatformManager:
    """Interface with Dragos Platform API for OT monitoring management."""

    def __init__(self, base_url: str, api_key: str, api_secret: str, verify_ssl: bool = True):
        self.base_url = base_url.rstrip("/")
        self.session = requests.Session()
        self.session.headers.update({
            "API-Key": api_key,
            "API-Secret": api_secret,
            "Content-Type": "application/json",
        })
        self.session.verify = verify_ssl

    def get_sensors(self) -> List[Dict]:
        """Retrieve all deployed Dragos sensors and their status."""
        resp = self.session.get(f"{self.base_url}/api/v1/sensors")
        resp.raise_for_status()
        return resp.json().get("sensors", [])

    def get_assets(self, asset_type: Optional[str] = None) -> List[Dict]:
        """Retrieve OT assets discovered by Dragos."""
        params = {}
        if asset_type:
            params["type"] = asset_type
        resp = self.session.get(f"{self.base_url}/api/v1/assets", params=params)
        resp.raise_for_status()
        return resp.json().get("assets", [])

    def get_notifications(self, severity: str = "high", limit: int = 50) -> List[Dict]:
        """Retrieve threat detection notifications."""
        params = {"min_severity": severity, "limit": limit}
        resp = self.session.get(f"{self.base_url}/api/v1/notifications", params=params)
        resp.raise_for_status()
        return resp.json().get("notifications", [])

    def get_vulnerabilities(self, severity: str = "critical") -> List[Dict]:
        """Retrieve OT vulnerabilities with Dragos-specific context."""
        params = {"min_severity": severity}
        resp = self.session.get(f"{self.base_url}/api/v1/vulnerabilities", params=params)
        resp.raise_for_status()
        return resp.json().get("vulnerabilities", [])

    def get_threat_groups(self) -> List[Dict]:
        """Retrieve tracked ICS threat group activity relevant to the environment."""
        resp = self.session.get(f"{self.base_url}/api/v1/threat-groups")
        resp.raise_for_status()
        return resp.json().get("threat_groups", [])

    def validate_deployment(self):
        """Validate sensor deployment health and coverage."""
        sensors = self.get_sensors()
        assets = self.get_assets()

        print(f"\n{'='*65}")
        print("DRAGOS PLATFORM DEPLOYMENT VALIDATION")
        print(f"{'='*65}")
        print(f"Validation Time: {datetime.now().isoformat()}")

        print(f"\n--- SENSOR STATUS ---")
        healthy_sensors = 0
        for sensor in sensors:
            status = sensor.get("status", "unknown")
            icon = "[OK]" if status == "connected" else "[!!]"
            print(f"  {icon} {sensor.get('name', 'Unknown')} | Status: {status}")
            print(f"      IP: {sensor.get('ip_address')} | Segment: {sensor.get('monitored_segment')}")
            print(f"      Last Seen: {sensor.get('last_seen')} | Packets/sec: {sensor.get('pps', 0)}")
            print(f"      Knowledge Pack: {sensor.get('knowledge_pack_version', 'N/A')}")
            if status == "connected":
                healthy_sensors += 1

        print(f"\n  Sensor Health: {healthy_sensors}/{len(sensors)} operational")

        print(f"\n--- ASSET VISIBILITY ---")
        print(f"  Total Assets Discovered: {len(assets)}")
        asset_types = {}
        for asset in assets:
            atype = asset.get("type", "Unknown")
            asset_types[atype] = asset_types.get(atype, 0) + 1
        for atype, count in sorted(asset_types.items(), key=lambda x: -x[1]):
            print(f"    {atype}: {count}")

        protocols = set()
        for asset in assets:
            protocols.update(asset.get("protocols", []))
        print(f"  Protocols Observed: {', '.join(sorted(protocols))}")

        print(f"\n--- THREAT INTELLIGENCE ---")
        groups = self.get_threat_groups()
        print(f"  Relevant Threat Groups: {len(groups)}")
        for group in groups:
            print(f"    - {group.get('name')}: {group.get('description', '')[:80]}")
            print(f"      Targets: {', '.join(group.get('target_sectors', []))}")
            print(f"      Activity Level: {group.get('activity_level', 'Unknown')}")

    def generate_siem_integration_config(self, siem_type: str = "splunk"):
        """Generate SIEM integration configuration for Dragos alerts."""
        configs = {
            "splunk": {
                "syslog_format": "CEF",
                "syslog_port": 514,
                "severity_mapping": {
                    "critical": 10,
                    "high": 7,
                    "medium": 5,
                    "low": 3,
                    "info": 1,
                },
                "index": "ot_security",
                "sourcetype": "dragos:notification",
                "fields": [
                    "notification_id", "severity", "category", "source_ip",
                    "destination_ip", "asset_name", "protocol", "description",
                    "mitre_ics_technique", "threat_group",
                ],
            },
            "sentinel": {
                "connector_type": "Syslog-CEF",
                "workspace_id": "<workspace-id>",
                "log_analytics_table": "DragosOTAlerts_CL",
                "severity_mapping": {
                    "critical": "High",
                    "high": "High",
                    "medium": "Medium",
                    "low": "Low",
                    "info": "Informational",
                },
            },
        }

        config = configs.get(siem_type, configs["splunk"])
        print(f"\n--- {siem_type.upper()} INTEGRATION CONFIG ---")
        print(json.dumps(config, indent=2))
        return config


if __name__ == "__main__":
    manager = DragosPlatformManager(
        base_url="https://dragos-sitestore.plant.local",
        api_key="your-api-key",
        api_secret="your-api-secret",
        verify_ssl=True,
    )

    manager.validate_deployment()
    manager.generate_siem_integration_config("splunk")

    print(f"\n--- RECENT HIGH-SEVERITY NOTIFICATIONS ---")
    notifications = manager.get_notifications(severity="high", limit=10)
    for n in notifications:
        print(f"  [{n.get('severity', '').upper()}] {n.get('title', 'No title')}")
        print(f"    Category: {n.get('category')} | Time: {n.get('timestamp')}")
        print(f"    Assets: {', '.join(n.get('affected_assets', []))}")
        print(f"    MITRE ICS: {n.get('mitre_technique', 'N/A')}")

Step 2: Configure Detection Analytics and Knowledge Packs

# Dragos Platform Detection Configuration
# Tuned for manufacturing/energy environment

detection_configuration:
  knowledge_pack:
    auto_update: true
    update_schedule: "weekly"
    include_threat_groups:
      - "VOLTZITE"    # Targets energy sector, exfiltrates OT diagrams
      - "GRAPHITE"    # New 2025 threat group targeting ICS
      - "BAUXITE"     # New 2025 threat group targeting ICS
      - "CHERNOVITE"  # Developed PIPEDREAM/INCONTROLLER framework
      - "ELECTRUM"    # Linked to Industroyer/CrashOverride
      - "KAMACITE"    # Targets energy sector initial access

  detection_categories:
    network_baseline:
      enabled: true
      learning_period_days: 30
      alert_on:
        - "new_communication_pair"
        - "new_protocol_detected"
        - "new_device_on_network"
        - "protocol_anomaly"

    threat_detection:
      enabled: true
      alert_on:
        - "known_malware_ioc"
        - "threat_group_ttp"
        - "lateral_movement"
        - "command_and_control"
        - "data_exfiltration"

    vulnerability_correlation:
      enabled: true
      alert_on:
        - "active_exploitation_attempt"
        - "vulnerability_with_public_exploit"

  protocol_monitoring:
    modbus:
      monitor_writes: true
      baseline_function_codes: true
      baseline_register_ranges: true
    dnp3:
      monitor_control_commands: true
      detect_firmware_updates: true
    s7comm:
      detect_cpu_stop: true
      detect_program_download: true
    opc_ua:
      monitor_method_calls: true
      detect_browsing: true
    ethernet_ip:
      monitor_cip_services: true
      detect_firmware_flash: true

  alert_routing:
    critical:
      notify: ["ot_soc_team", "plant_manager"]
      siem_forward: true
      auto_ticket: true
    high:
      notify: ["ot_soc_team"]
      siem_forward: true
      auto_ticket: true
    medium:
      siem_forward: true
    low:
      siem_forward: true

Key Concepts

TermDefinition
Dragos PlatformPurpose-built OT cybersecurity platform with asset visibility, threat detection, and vulnerability management for ICS environments
Knowledge PackDragos threat intelligence update containing detection analytics for new threats, malware, and vulnerability exploits specific to ICS
SiteStoreDragos central management server aggregating data from all deployed sensors across a site
VOLTZITEDragos-tracked threat group targeting energy sector OT environments, exfiltrating GIS data and ICS network diagrams
PIPEDREAM/INCONTROLLERModular ICS attack framework developed by CHERNOVITE, targeting Schneider/OMRON PLCs and OPC UA servers
Neighborhood KeeperDragos community defense program sharing anonymized threat data across participating OT environments

Common Scenarios

Scenario: Detecting VOLTZITE Reconnaissance in Energy Utility

Context: A Dragos sensor deployed at an electric utility detects unusual OPC UA browsing activity and exfiltration of device configuration data from an engineering workstation.

Approach:

  1. Review the Dragos notification for MITRE ATT&CK ICS technique mapping
  2. Identify the source host performing OPC UA browsing (check if it is an authorized engineering workstation)
  3. Check Dragos threat intelligence correlation for VOLTZITE TTPs
  4. Examine the scope of data accessed (GIS data, network diagrams, ICS configuration files)
  5. Isolate the compromised workstation from the OT network
  6. Check for lateral movement indicators to other OT systems
  7. Engage Dragos Professional Services if threat group attribution is confirmed
  8. Report to CISA as a critical infrastructure cyber incident

Pitfalls: Do not ignore OPC UA browsing alerts as false positives -- VOLTZITE specifically uses this technique for pre-positioning. Ensure Dragos Knowledge Packs are current to detect the latest VOLTZITE indicators. Do not reimage the compromised workstation before collecting forensic evidence.

Output Format

DRAGOS OT MONITORING DEPLOYMENT REPORT
==========================================
Site: [Site Name]
Date: YYYY-MM-DD

SENSOR DEPLOYMENT:
  Total Sensors: [count]
  Operational: [count]
  Coverage: [percentage of OT segments monitored]

ASSET VISIBILITY:
  Total OT Assets: [count]
  PLCs: [count] | HMIs: [count] | Network Devices: [count]
  Protocols: [list]

THREAT DETECTION:
  Active Threat Groups Relevant: [count]
  Detection Analytics Loaded: [count]
  Alerts (Last 30 Days): [count by severity]

SIEM INTEGRATION:
  Status: [Connected/Disconnected]
  Events Forwarded (Last 24h): [count]

Frequently asked questions about Implementing Dragos Platform for OT Monitoring

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