Skill UI

A structured guide for SOC Tier 1 analysts to triage security alerts within Splunk Enterprise Security (ES). It provides a systematic workflow for classifying severity, investigating notable events, correlating evidence across diverse data sources (proxy, firewall, logs), and making clear disposition decisions (True Positive, False Positive) required for escalation or closure.

This tool provides a structured methodology for assessing the security posture of SCADA Human-Machine Interface (HMI) systems. It evaluates potential vulnerabilities in web-based HMIs, thin-client configurations, authentication mechanisms, and communication pathways between HMIs and PLCs, ensuring compliance alignment with rigorous standards like IEC 62443 and NIST SP 800-82.

A comprehensive knowledge-base-first skill designed for deep literature reviews in advanced communication domains. Use it for topics like 4G/5G/6G, wireless networking, satellite communications, Wi-Fi, routing protocols, and cross-layer optimization. It systematically searches structured academic databases (IEEE, ACM, Zotero, etc.) to provide related work, survey papers, and landscape summaries.

This skill focuses on detecting and mitigating sophisticated code injection and privilege escalation attacks across the entire serverless ecosystem (AWS Lambda, Azure, GCP). It combines static analysis of dangerous code sinks (e.g., eval, exec) with continuous monitoring of event sources (S3, SQS, API Gateway) and rigorous IAM auditing. It provides a comprehensive framework to secure the expanding serverless attack surface.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.

Assesses organizational readiness for migrating cryptographic systems to post-quantum standards (PQC), aligning with NIST guidelines. The tool performs comprehensive cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA) and evaluates the feasibility of implementing hybrid TLS configurations using standards like ML-KEM and ML-DSA. Essential for implementing crypto-agility across enterprise infrastructure.

This skill provides a comprehensive framework for validating backup reliability. It automates processes like cryptographic hash verification, running simulated restores to isolated environments, detecting silent data corruption (bit rot), and scanning for ransomware indicators. Use it before relying on backups during a major incident or ransomware attack to ensure data recoverability and compliance.

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.

A comprehensive guide to optimizing CAST AI's core performance metrics, including node provisioning speed, autoscaler responsiveness, and API call efficiency. This skill covers techniques like configuring headroom, selecting optimal instance families, tuning evictors, and implementing caching for multi-cluster dashboards to ensure high availability and cost efficiency in cloud environments.

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.

Provides a comprehensive reference architecture for deploying highly scalable, low-latency applications on Fly.io. It details best practices for multi-region web tiers, achieving high availability with Postgres read replicas, implementing Redis caching, managing background workers, and securing connectivity via private internal networking for robust production systems.