Skill UI

This tool guides the deployment and configuration of the Dragos Platform for critical Operational Technology (OT) and Industrial Control System (ICS) network monitoring. It leverages over 600 industrial protocol parsers and advanced threat intelligence to detect sophisticated attacks (e.g., VOLTZITE, GRAPHITE). Use it for building an OT Security Operations Center (SOC), asset discovery, and vulnerability management in industrial settings, integrating alerts with enterprise SIEMs.

This comprehensive skill guides the deployment and configuration of Wazuh SIEM/XDR for robust endpoint monitoring. Users will learn to manage agents via the API, create custom decoders and rules (XML), query security alerts, and test rule logic, enabling organizations to establish strong security controls and automate incident response.

This guide details the deployment of deception technologies, including canary files and honeypot shares, to detect ransomware activity at its earliest stages. It outlines configuring file integrity monitoring (FIM) and using specialized tokens to trigger alerts when ransomware attempts encryption or performs lateral movement, significantly enhancing security posture beyond standard EDR.

This skill guides the deployment of canary tokens and honeytokens across critical systems, such as fake AWS credentials, DNS records, and document beacons. These decoys are designed to trigger immediate alerts via webhooks when accessed by attackers, serving as a powerful early warning system for breach detection and intrusion detection.

Learn how to implement Runtime Application Self-Protection (RASP) agents for Java and Python web applications. This skill covers deploying OpenRASP, detecting OWASP Top 10 attacks (SQLi, XSS, RCE), configuring security policies, and integrating real-time security alerts with SIEM platforms for comprehensive defense in depth.

Implements a comprehensive incident ticketing system that connects SIEM alerts to major ITSM platforms like ServiceNow, Jira, or TheHive. This solution formalizes incident tracking, automates ticket creation, and manages critical processes such as Service Level Agreement (SLA) tracking, complex escalation workflows, and compliance documentation throughout the entire incident lifecycle.

This skill maps observed adversary behaviors, security alerts, and detection rules to the MITRE ATT&CK framework. It is essential for quantifying detection coverage, building ATT&CK heatmaps, tagging SIEM alerts, and prioritizing security controls based on known threat actor playbooks. Use it for comprehensive gap analysis and risk reporting.

A comprehensive guide to deploying deception technologies, including honeypots, honeytokens, and decoy systems, within a Security Operations Center (SOC). This skill is used to detect advanced attackers who bypass perimeter defenses by monitoring lateral movement, credential abuse, and internal reconnaissance. It provides high-fidelity, near-zero false positive alerts and is essential for threat hunting and incident response strategy.

A structured guide for SOC Tier 1 analysts to triage security alerts within Splunk Enterprise Security (ES). It provides a systematic workflow for classifying severity, investigating notable events, correlating evidence across diverse data sources (proxy, firewall, logs), and making clear disposition decisions (True Positive, False Positive) required for escalation or closure.

This playbook guides Security Operations Center (SOC) analysts through a comprehensive, multi-step process for triaging and prioritizing security incidents. It covers receiving alerts from SIEM/EDR, enriching data using threat intelligence feeds (VirusTotal, AbuseIPDB), classifying the incident type (MITRE ATT&CK mapping), and calculating a severity score based on asset criticality and data sensitivity. The workflow culminates in automating ticket creation and triggering immediate response procedures via tools like PagerDuty.

Provides a structured workflow for performing initial triage of security incidents. This process uses established frameworks (NIST SP 800-61r3 and SANS PICERL) to classify the incident type, assign severity based on business impact, and determine the necessary containment and escalation steps. Ideal for analyzing SIEM/EDR alerts, suspicious user reports, or matching threat intelligence.

This skill outlines the architecture and methodology for deploying canary files (honeytokens) across critical file systems. By placing decoy documents with known content in high-value locations, this system monitors for unauthorized modifications, deletions, or encryption attempts. It detects ransomware by triggering high-fidelity alerts via File Integrity Monitoring (FIM) systems, serving as a crucial deception layer that complements existing EDR/AV solutions.