Skill UI

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

This skill provides a comprehensive workflow for building vendor-agnostic detection rules using the Sigma format. It empowers security operations center (SOC) engineers to translate raw threat intelligence and MITRE ATT&CK techniques into standardized, portable detection logic. The process guides users through rule validation and conversion into specific queries for major SIEM platforms, including Splunk, Elastic, and Microsoft Sentinel, ensuring robust detection coverage.

This framework provides a systematic methodology for cybersecurity professionals to transform raw threat intelligence, observed attack patterns, and environmental telemetry into verifiable, testable hunting hypotheses. It guides the end-to-end process, from hypothesis formulation and data identification across SIEM/EDR systems, to deep correlation and reporting, enabling proactive threat detection and scope assessment.

This comprehensive guide outlines how to plan and execute a full-scope red team engagement. It simulates real-world Advanced Persistent Threat (APT) behavior, covering the entire cyber kill chain from initial reconnaissance (OSINT) through lateral movement, credential harvesting, and data exfiltration. It utilizes MITRE ATT&CK frameworks to rigorously test an organization's detection, prevention, and incident response capabilities.

A comprehensive guide to deploying and configuring Suricata, a high-performance IDS/IPS. This skill covers setting up multi-threaded packet capture, integrating Emerging Threats rulesets, generating structured EVE JSON logs, and enabling deep protocol inspection (HTTP, TLS, DNS). It enables real-time threat detection and seamless SIEM integration for centralized security monitoring.

This skill guides the advanced configuration of Windows Event Logging using Group Policy Objects (GPO) and advanced audit policies. It enables high-fidelity logging for critical security events, including process creation (Event 4688), logon/logoff activities, and object access. The process covers optimizing log sizes and implementing Windows Event Forwarding (WEF) to centralize data into SIEM platforms for effective threat detection and forensic investigation.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

This skill correlates disparate security incidents, Indicators of Compromise (IOCs), and adversary behaviors across time and organizations. It systematically identifies unified threat campaigns, attributes them to common threat actors, and extracts shared indicators for significantly improved detection capabilities. Ideal for cross-organizational threat intelligence sharing and building comprehensive campaign reports.

A comprehensive guide for deploying and configuring CrowdStrike Falcon EDR agents across diverse endpoints (Windows, macOS, Linux). This skill covers silent installation via SCCM, Intune, GPO, and command-line methods, alongside establishing robust prevention and response policies. Ideal for onboarding endpoints, enhancing threat detection capabilities, and integrating Falcon telemetry into SIEM platforms for advanced security operations.

Focuses on advanced threat detection within Azure AD/Entra ID. This skill guides users on correlating Graph API audit logs, sign-in anomalies, and KQL queries in Microsoft Sentinel to identify sophisticated lateral movement techniques, such as privilege escalation, OAuth abuse, and cross-tenant pivoting. Essential for SOC threat hunting.

This guide provides advanced detection methods and threat hunting queries (KQL/SPL) to identify abuse of Azure service principals. It covers techniques such as privilege escalation, credential compromise, unauthorized role assignment, and enumeration, essential for SOC analysts and security teams monitoring Microsoft Entra ID.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.