Skill UI

Guides implementing Kubernetes NetworkPolicy, RBAC, PodSecurityPolicy, Pod Security Standards, and OPA Gatekeeper constraints to enforce defense-in-depth across clusters, covering multi-tenant protection, admission control, and Istio service mesh policies.

Security workflow that guides from threat modeling through secure design, authentication and input validation, header hardening, encryption, and OWASP defenses for production services.

Comprehensive checklist for application security hardening, covering input validation, output encoding, SQL/CSRF defenses, security headers, JWT best practices, secrets handling, rate limiting, and dependency audits to keep web services resilient.

This skill implements a robust, multi-layered security hardening process based on the Defense-in-Depth strategy and DevSecOps principles. It coordinates specialized agents to perform comprehensive security assessments (SAST, DAST, SBOM, Threat Modeling), identify critical vulnerabilities, and execute layered remediation. The process covers application code, backend APIs, frontend components, and mobile platforms, ensuring a resilient security posture across the entire development lifecycle.

Provides an OWASP 2025-aligned vulnerability scanning mindset, supply chain defenses, attack surface mapping, and risk prioritization guidance with runtime scripts for automated validation of modern application security.

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

This comprehensive guide configures Fail2ban to implement a robust, layered defense mechanism for network security. It sets up custom filters and actions to automatically detect and mitigate threats such as port scanning, SSH brute force attempts, and network reconnaissance. By dynamically banning malicious IP addresses and providing security alerts, this skill significantly enhances the host-based intrusion prevention capabilities of your system.

A comprehensive skill for detecting advanced malware techniques, including DLL injection, process hollowing, APC injection, and thread hijacking. Utilizes memory forensics (Volatility), API monitoring (Sysmon), and behavioral analysis to identify malicious code artifacts and suspicious process activities in a deep defense context.

This skill detects anti-forensic timestomping by analyzing NTFS Master File Table (MFT) entries. It compares timestamps from the $STANDARD_INFORMATION attribute (user-modifiable) against the $FILE_NAME attribute (kernel-protected). Discrepancies, such as SI Created < FN Created, strongly indicate malicious manipulation and defense evasion. This methodology is crucial for advanced threat hunting and digital forensic investigations.

A comprehensive guide for implementing centralized security controls on API gateways (e.g., Kong, AWS API Gateway, Azure APIM). It covers critical defense layers including JWT-based authentication enforcement, advanced rate limiting and throttling, request validation against schemas, TLS termination, and Web Application Firewall (WAF) integration. Use this when establishing a robust, layer-7 security posture for microservice APIs.

This skill provides comprehensive implementation for secure JWT (RFC 7519) signing and verification using multiple algorithms (HMAC-SHA256, RSA-PSS, ES256, EdDSA). It covers token expiration, claims validation, and crucial defenses against common attacks like algorithm confusion and 'none' algorithm bypass, essential for hardening web application authentication systems.

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.