Skill UI

AWT provides AI coding tools with the ability to perform sophisticated End-to-End (E2E) web testing using a real browser. It accepts declarative YAML scenarios and executes them via Playwright. Key features include visual matching (OpenCV + OCR) instead of relying on fragile DOM selectors, automatic platform detection (React, Vue, etc.), and structured failure diagnosis for improved AI coding workflows.

This skill details the implementation of a cloud-native SIEM and SOAR platform using Microsoft Sentinel. It covers ingesting multi-cloud logs (AWS, Azure, GCP), writing advanced KQL detection queries for threat hunting, and automating incident response workflows using Logic Apps. Ideal for centralized security operations in complex, multi-cloud environments.

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 comprehensive guide details how to design and implement an end-to-end DevSecOps pipeline leveraging GitLab CI/CD. It integrates crucial automated security checks—such as SAST, DAST, container scanning, dependency scanning, and secret detection—directly into the development workflow. By adopting this approach, teams can effectively 'shift left' security, identifying and mitigating vulnerabilities early in the development lifecycle to ensure compliance and robust application security.

This skill outlines a comprehensive, structured workflow for managing Microsoft Patch Tuesday security updates. It covers the entire lifecycle, from initial vulnerability triage and risk assessment to testing, staged deployment (Pilot, Production Rings), and final validation, ensuring compliance with risk-based remediation SLAs.

This solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.

This guide details the deployment and usage of MISP (Malware Information Sharing Platform) to centralize, correlate, and distribute threat intelligence. It covers architectural concepts, integrating diverse OSINT and commercial feeds (like abuse.ch, AlienVault OTX), and automating the flow of Indicators of Compromise (IOCs) into SIEM and SOAR systems via Docker and Python APIs.

DefectDojo is an open-source platform designed to centralize, aggregate, and manage security vulnerabilities. It integrates findings from over 200 security scanners (e.g., Nessus, ZAP, Trivy), automatically deduplicates results, tracks remediation progress, and provides executive-level dashboards. It supports robust workflows, including CI/CD pipeline integration and Jira ticketing, making it essential for DevSecOps practices and compliance adherence.

This system manages vulnerabilities that cannot be remediated within Service Level Agreement (SLA) timelines. It provides structured workflows for requesting exceptions, documenting compensating controls, obtaining formal risk acceptance approvals, and automatically managing expiration. It helps organizations maintain visibility into accepted risks to comply with major frameworks like PCI DSS, SOC 2, and NIST CSF.

This workflow guides SOC teams in establishing a comprehensive, structured process for vulnerability management. It utilizes major scanning tools (Nessus, Qualys, OpenVAS) to discover, prioritize, and track remediation of security weaknesses across the infrastructure. It integrates threat intelligence (CISA KEV) and asset criticality into risk scoring, ensuring resources are focused on the most critical threats.

This guide details the comprehensive workflow for conducting memory forensics using Volatility 3. It covers the entire incident response lifecycle, from acquiring raw RAM dumps to analyzing processes, detecting rootkits, investigating network connections, and extracting sensitive artifacts like credentials and injected code. Essential for live memory analysis in cybersecurity investigations.

This comprehensive guide details the multi-step workflow for responding to sophisticated phishing incidents. It covers everything from initial triage and detailed email header analysis to analyzing malicious URLs and attachments in sandboxes. Key steps include determining the scope of impact, implementing immediate containment actions (like purging emails and revoking sessions), and executing thorough remediation to neutralize the threat and recover affected accounts.