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This skill provides comprehensive guidance on implementing robust network security controls in Kubernetes using Calico's CNI capabilities. Learn to define and audit NetworkPolicy and GlobalNetworkPolicy resources to achieve zero-trust microsegmentation, restrict egress traffic, and control all pod-to-pod communications, ensuring compliance and enhanced security posture.

Breach and Attack Simulation (BAS) provides an automated, continuous method for validating the effectiveness of security controls (EDR, SIEM, NGFW, etc.). By safely emulating real-world attack techniques mapped to the MITRE ATT&CK framework, BAS helps organizations proactively identify security gaps and measure control maturity across the entire kill chain. It moves beyond point-in-time testing to provide an ongoing security posture assessment.

Implement robust Static Application Security Testing (SAST) using CodeQL powered by GitHub Advanced Security (GHAS). This solution automates the detection of critical vulnerabilities (e.g., SQL injection, XSS) across large, enterprise-scale codebases, ensuring compliance and maintaining a strong DevSecOps posture throughout the development lifecycle.

This skill guides the implementation of security chaos engineering experiments. It involves deliberately degrading or disabling security controls (like WAF, firewalls, or log pipelines) in a controlled environment to rigorously verify the detection, alerting, and response capabilities of the Security Operations Center (SOC). Users learn to use tools like boto3 and Python to simulate failure scenarios and assess system resilience and compliance posture.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

This skill guides Security Operations Center (SOC) teams through structured threat modeling using the MITRE ATT&CK framework. It enables mapping adversary Tactics, Techniques, and Procedures (TTPs) against organizational assets to identify critical detection coverage gaps, prioritize defensive investments, and improve overall security posture. Ideal for risk assessment, purple teaming, and compliance planning.

EvilGinx3 is an advanced Adversary-in-the-Middle (AiTM) framework designed for red teaming simulations. It goes beyond traditional credential harvesting by acting as a transparent proxy to intercept the entire authentication flow, including session cookies and Multi-Factor Authentication (MFA) tokens. This capability allows security professionals to assess the robustness of an organization's security posture against sophisticated account takeover attacks.

Checks AWS, Azure, and GCP configurations for IAM escalation paths, public storage exposure, open security groups, and IaC gaps, providing preventive findings with MITRE mapping for cloud posture management workflows.

This guide details Algolia's security best practices, focusing on scoped API keys. It covers essential concepts like separating API keys for frontend vs. backend use, applying the principle of least privilege, and generating secured, time-limited, per-user keys. It also provides a complete procedure for key rotation to maintain a robust production security posture.

A comprehensive checklist designed for assessing the security posture of GraphQL endpoints. It covers advanced vulnerabilities such as introspection abuse, IDOR, query depth/complexity DoS, injection attacks (SQLi/NoSQLi), and authorization bypass mechanisms. Essential for professional penetration testing and bug bounty hunting.

This tool provides a comprehensive security assessment framework for Retrieval-Augmented Generation (RAG) systems and vector databases. It tests critical vulnerabilities such as embedding inversion, cross-tenant data leakage, knowledge-base poisoning, and retrieval manipulation, aligning with OWASP LLM08:2025 standards. It is essential for validating the security posture of multi-tenant and vector-search applications.

A comprehensive red-teaming skill for assessing the security posture of Retrieval-Augmented Generation (RAG) pipelines. It systematically probes two critical injection surfaces: poisoned retrieved context (indirect prompt injection) and embedding manipulation. Use this skill to validate retrieval guardrails, ensure data leak prevention, and demonstrate vulnerabilities in LLM-powered knowledge assistants.