Skill UI

A comprehensive security auditing tool designed to assess a Kubernetes cluster's compliance posture against established CIS benchmarks. It performs deep checks on control plane components (API Server, etcd, Controller Manager), worker nodes, and Role-Based Access Control (RBAC). Use it for proactive security assessments, compliance validation, and hardening throughout the CI/CD lifecycle.

Kubesec is a powerful open-source tool designed to perform comprehensive security risk analysis on Kubernetes resource manifests (YAML/JSON). It automatically detects critical misconfigurations, potential privilege escalation vectors, and deviations from industry security best practices. It provides actionable scoring and hardening recommendations, making it essential for CI/CD pipelines, security auditing, and automated compliance checks.

This guide provides a deep dive into hardening AWS Identity and Access Management (IAM) configurations. It teaches advanced security practices, including enforcing the principle of least privilege, defining granular policy scopes, implementing permission boundaries, and leveraging Access Analyzer to ensure continuous compliance and minimize the blast radius of security breaches.

This skill provides a comprehensive guide to hardening managed Kubernetes clusters on major cloud platforms (EKS, AKS, GKE). It details implementing critical security layers, including Pod Security Standards, least-privilege network policies, workload identity (eliminating static cloud credentials), and runtime security monitoring. Essential for securing production environments and meeting compliance requirements.

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

Comprehensive Snowflake development assistant covering SQL best practices, dynamic tables, streams, tasks, Snowpipe, Cortex AI functions/agents, Snowpark Python, dbt integration, performance tuning, and security hardening for production data platforms.

This guide outlines the implementation of Remote Browser Isolation (RBI) as a core component of a Zero Trust architecture. It details policies for URL risk classification, Data Loss Prevention (DLP) controls, and Content Disarm and Reconstruction (CDR). This is essential for hardening web access, protecting against zero-day exploits, phishing, and preventing data exfiltration from untrusted web content.

This skill provides a comprehensive framework for simulating and testing disaster recovery plans against ransomware threats. It guides users through measuring Recovery Time Objective (RTO) and Recovery Point Objective (RPO), validating clean backup restores, and hardening security controls to ensure organizational resilience. It is designed for tabletop exercises and compliance auditing, not for active incident response.

This comprehensive guide details security-first development practices, emphasizing threat modeling (STRIDE) and secure design principles. It provides mandatory controls for validating all external input, preventing common vulnerabilities like XSS and SQL injection, and properly managing authentication and sensitive data storage. Use it when building any feature that handles untrusted data or interacts with external systems.

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.

This comprehensive guide outlines essential security best practices for users operating within the Apify ecosystem. Learn how to properly manage API tokens, implement environment separation (dev/staging/prod), secure proxy credentials, and sanitize sensitive data (PII) before storage. Essential for hardening data pipelines and ensuring compliance.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.