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This framework executes sophisticated threat emulation tests using Atomic Red Team, mapping directly to MITRE ATT&CK techniques. It allows security teams to actively simulate adversary behavior, validating the detection coverage of SIEM rules and EDR controls. Use this tool for comprehensive purple team operations, penetration testing, and security auditing.

A comprehensive guide for Security Operations Center (SOC) teams to perform proactive threat hunting using Elastic SIEM. This skill teaches advanced techniques like KQL and EQL queries, analyzing event sequences, and investigating anomalies to uncover threats that bypass automated detection rules. Ideal for validating detection coverage gaps and responding to new TTPs based on the MITRE ATT&CK framework.

This skill teaches the comprehensive process of developing precise YARA rules for malware detection. It covers techniques such as identifying unique byte patterns, analyzing strings, and inspecting PE file headers to create robust signatures. Ideal for security analysts performing threat hunting, incident response, and security auditing.

This guide details implementing robust, multi-layered security for public-facing API Gateway endpoints using AWS WAF. Key features include configuring managed rule groups for OWASP Top 10 protection, setting up granular rate limiting to prevent abuse, implementing bot mitigation, and performing IP reputation filtering. Essential for maintaining API integrity and availability.

This comprehensive guide outlines the end-to-end security lifecycle for Kubernetes applications deployed via Helm. It covers critical topics such as chart provenance verification (GPG signing), template scanning (using tools like kubesec and checkov), enforcing strict security contexts, managing secrets securely (ExternalSecrets), and defining robust RBAC rules for CI/CD pipelines.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

This framework provides comprehensive detection capabilities for compromised cloud credentials across major platforms including AWS, Azure, and GCP. It analyzes critical threat indicators such as anomalous API activity, impossible travel patterns (impossible login locations), and unauthorized resource provisioning. Designed for incident response, security monitoring, and building robust detection rules to mitigate account takeover and credential abuse.

This skill provides comprehensive guidance on detecting post-exploitation credential dumping activities, such as LSASS memory access, SAM registry hive extraction, and NTDS.dit theft. It utilizes advanced log sources, including Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and SIEM correlation rules, to identify suspicious process behaviors and malicious tool usage, mapping these detections to MITRE ATT&CK techniques.

Falco is a powerful CNCF project for real-time runtime security monitoring. This guide teaches authors how to write and deploy custom detection rules using Falco's robust YAML rule engine and modern eBPF driver. It is designed to detect critical threats such as container escapes, namespace manipulation, privileged mounts, and anomalous syscalls in Kubernetes and Docker environments, significantly hardening the overall container security posture.