Skill UI

This methodology provides SOC teams with an adversary-centric framework to evaluate security detection capabilities against the MITRE ATT&CK framework. By systematically mapping existing SIEM rules and data sources, users can identify critical detection gaps, prioritize rule development efforts, and measure the overall maturity of their security operations center (SOC) defenses over time.

This guide details the implementation of a robust, ransomware-resilient backup architecture following the extended 3-2-1-1-0 rule. It covers critical steps such as classifying assets, defining RPO/RTO, implementing immutable or air-gapped storage, and isolating backup credentials from the production domain. Use this knowledge to design a multilayered defense against data loss and ensure reliable recovery points.

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.

A comprehensive guide for authorized penetration testers on identifying and exploiting Cross-Site Request Forgery (CSRF) vulnerabilities. This skill covers analyzing state-changing requests, testing anti-CSRF token implementations, and verifying defenses like SameSite cookies and Origin/Referer header validation using tools like Burp Suite.

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.

This skill provides a comprehensive guide to implementing secure, defense-in-depth remote access architectures for Operational Technology (OT) and Industrial Control Systems (ICS). It covers best practices such as using jump servers, implementing Multi-Factor Authentication (MFA), session recording, and adhering to standards like IEC 62443 and NERC CIP-005 for vendor and operator access.

A multi-layered defense system designed to detect sophisticated prompt injection attacks targeting LLM-powered applications. It combines regex pattern matching for known signatures, heuristic scoring for structural anomalies, and advanced DeBERTa-based classification. Ideal for building robust input validation layers, securing RAG pipelines, and performing proactive AI security scanning.

A comprehensive guide to hardening Windows Active Directory environments using Group Policy Objects (GPO). This skill configures multiple layers of defense, including AppLocker, Controlled Folder Access, and Attack Surface Reduction (ASR) rules, to prevent ransomware execution paths, block unauthorized file modifications, and restrict lateral movement across the domain.

This skill guides users through advanced security auditing and best practices for Golang development. It acts as a senior security engineer, focusing on defense in depth by analyzing critical areas like injection patterns, cryptography, secrets management, and authorization flaws. It supports full codebase audits (using STRIDE and DREAD scoring) and precise PR vulnerability reviews, ensuring secure and resilient Go applications.

A comprehensive skill designed to generate professional, visually engaging, and scientifically rigorous slide decks for academic talks, conferences, and thesis defenses. It guides users through structuring the narrative, incorporating complex data visualizations, ensuring consistent design aesthetics, and accurately placing citations. It works with formats compatible with PowerPoint and LaTeX Beamer.

This guide details essential best practices for securing applications integrated with Anthropic's Claude API. It covers critical security measures including secure API key management (server-side only), robust input validation to prevent cost attacks, defense mechanisms against prompt injection, and implementing per-user rate limiting. Essential reading for maintaining data privacy and system integrity in production environments.

This skill defines canonical, ordered middleware patterns for LangChain and LangGraph agents. It addresses critical production-level LLM deployment issues, including PII leakage across tenants, token budget overconsumption, prompt injection defense (Guardrails), and cache key corruption. Use this to build secure, scalable, and cost-aware AI applications.