Skill UI

A comprehensive guide for designing and managing document control systems for ISO 13485-compliant Quality Management Systems (QMS), specifically tailored for the medical device industry. This resource covers document numbering, version control, change management workflows, approval processes, and ensures compliance with rigorous standards like 21 CFR Part 11, including electronic signatures and audit trails.

This skill provides a structured methodology for threat hunting DNS-based persistence mechanisms. It detects unauthorized changes such as DNS hijacking, dangling CNAME records enabling subdomain takeover, wildcard DNS abuse, or unauthorized NS delegation modifications. By utilizing passive DNS history (e.g., SecurityTrails API) and auditing cloud DNS logs (Route53, Azure, Cloudflare), users can identify persistent attack vectors that survive traditional remediation efforts.

This comprehensive guide details how to implement robust privileged session monitoring and recording using advanced PAM solutions like CyberArk PSM. It covers critical aspects including architecting network controls (routing all access through proxies), configuring keystroke logging and session recording for RDP/SSH, and establishing real-time monitoring rules. Essential for meeting strict compliance requirements (e.g., PCI-DSS, SOX, HIPAA) and generating non-repudiable audit trails.

Manages the complete data lifecycle within ClickHouse. Includes setting Time-To-Live (TTL) policies for automatic data expiration, implementing GDPR/CCPA compliant deletion, PII masking, partition management, and building comprehensive audit trails. Essential for robust data governance and compliance.

Autonomous DevSecOps & FinOps guardrails that review Linux kernel patches for memory safety, analyze Terraform cost drifts to prevent bill spikes, and translate natural language security intent into hardened Kubernetes policies. Integrates advanced AI reasoning into the SDLC for high-stakes audits and CI/CD quality gating.

Policy and workflow for reviewing AI-generated code before merge or execution. Covers AST-based static checks, dependency advisories, isolated behavior tests, and evidence collection with language-specific coverage limits.