Skill UI

This guide provides a comprehensive walkthrough for deploying, configuring, and tuning Snort 3. It covers essential steps such as setting network interfaces to promiscuous mode, writing custom rules using Lua, integrating with SIEM platforms, and utilizing community rulesets. Ideal for network security professionals implementing robust, signature-based intrusion detection at critical network boundaries.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

A comprehensive guide on configuring advanced email security gateways (SEGs) to detect and block sophisticated, targeted spearphishing attacks. This skill covers essential detection layers, including impersonation protection, real-time URL detonation, attachment sandboxing, and creating custom behavioral rules. It is crucial for SOC analysts and security engineers building robust email threat defense systems.

This skill covers the deployment and fine-tuning of Web Application Firewall (WAF) rules across major cloud platforms like AWS, Azure, and Cloudflare. It addresses critical security needs such as mitigating OWASP vulnerabilities (SQLi, XSS), managing bot traffic, implementing rate limiting, and ensuring compliance (e.g., PCI-DSS). The workflow guides users through deploying managed rule sets, creating custom rate-based logic, and minimizing false positives.

A comprehensive guide to deploying and configuring Wazuh SIEM/XDR for robust endpoint detection and response. This skill covers agent authentication and management via API, creating custom decoders and rules, querying security alerts, and validating rule logic using logtest functionality.

This guide details the deployment and configuration of Suricata as a high-performance, inline Intrusion Prevention System (IPS). It covers setting up NFQueue mode, writing custom detection rules, managing commercial and community rulesets (like Emerging Threats), and optimizing performance for active, real-time blocking of malicious network traffic. Essential for robust security architecture and compliance.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.

This skill demonstrates how to craft and inject custom, malformed, or spoofed network packets using tools like Scapy and hping3. It is designed for authorized cybersecurity assessments to rigorously test firewall rules, Intrusion Detection/Prevention Systems (IDS/IPS) signatures, anti-spoofing controls, and overall network stack resilience against protocol anomalies and fragmentation attacks. Use only in controlled, authorized environments.

This skill demonstrates how to secure AWS API Gateway endpoints using AWS WAF (Web Application Firewall). It implements essential security measures including protection against OWASP Top 10 vulnerabilities, custom rate-limiting rules, IP reputation filtering, and bot control. Ideal for deploying public API endpoints that require robust defense against common web attacks and API abuse.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

Falco is a powerful CNCF project for real-time runtime security monitoring. This guide teaches authors how to write and deploy custom detection rules using Falco's robust YAML rule engine and modern eBPF driver. It is designed to detect critical threats such as container escapes, namespace manipulation, privileged mounts, and anomalous syscalls in Kubernetes and Docker environments, significantly hardening the overall container security posture.

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.