Skill UI

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

This skill demonstrates how to integrate Hardware Security Modules (HSMs) using the standard PKCS#11 interface. It covers secure key generation, signing, encryption, and verification operations directly on the hardware. Ideal for security assessments, compliance audits (FIPS 140-2/3), and validating cryptographic controls using tools like python-pkcs11, AWS CloudHSM, and YubiHSM2.

This tool provides comprehensive asset discovery and inventory management for Operational Technology (OT) and Industrial Control Systems (ICS) environments using the Claroty xDome platform. It utilizes passive monitoring and active querying to achieve full visibility into critical assets across Purdue Model levels, including PLCs, RTUs, and HMIs. Ideal for compliance assessments (e.g., IEC 62443) and onboarding brownfield sites.

This guide details the comprehensive process of onboarding new log sources into Security Information and Event Management (SIEM) platforms. It covers critical steps including data source discovery, configuring collectors (e.g., Syslog, Splunk UF, CloudTrail), building parsers, normalizing fields to a common schema, and validating data quality. This systematic approach is essential for achieving complete security visibility and effective threat detection across the enterprise.

This skill provides comprehensive capability to discover and inventory all privileged accounts across an enterprise infrastructure. It covers domain admins, local admins, service accounts, database roles, and cloud IAM roles. It is essential for security assessments, incident response, and compliance auditing, helping to establish a complete baseline for Privileged Access Management (PAM).

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 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.

A comprehensive security script designed to test REST API authentication mechanisms for common vulnerabilities. It assesses broken token validation, missing authentication on critical endpoints, weak password policies, and session management flaws. The tool specifically evaluates JWT implementation, API key handling, and adherence to OWASP API Security Top 10, helping identify authentication bypasses before production deployment.

KubeSphere Core acts as the central operating system for cloud-native application management built on Kubernetes. It provides essential functions, including API aggregation, multi-cluster routing, and multi-tenant separation. It manages core resources and simplifies complex cloud-native deployment and operation tasks.

A comprehensive toolkit for medical device manufacturers seeking ISO 13485 certification. This skill guides users through gap analysis, creating mandatory Quality Management System (QMS) documentation, and ensuring compliance with global medical device regulations (e.g., EU MDR, FDA QMSR). It provides templates, guidance, and structured processes for foundational QMS documents like Quality Manuals and CAPA procedures.

Provides comprehensive guidance on determining the optimal scaling strategy for Qdrant vector databases. Covers when to transition from vertical to horizontal scaling, how to select the right number of nodes and shards, and best practices for setting replication factors to ensure zero-downtime operation and fault tolerance. Also details proper shard management and common scaling pitfalls to avoid.

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.