Skill UI

This skill provides a comprehensive guide to implementing advanced memory protection mechanisms on Windows endpoints. It covers critical techniques like Data Execution Prevention (DEP), Address Space Layout Randomization (ASLR), and Control Flow Guard (CFG). Use this when hardening systems against various memory corruption exploits, such as buffer overflows and ROP chains, to significantly boost overall security posture.

This tool implements robust network segmentation based on the Purdue Enterprise Reference Architecture (PERA) model. It helps designers map and secure Industrial Control Systems (ICS) and SCADA networks into hierarchical security zones (Levels 0-5). It enforces strict data flow control and establishes the critical IT/OT DMZ (Level 3.5), adhering to IEC 62443 standards. Ideal for retrofitting or designing resilient industrial networks.

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.

A comprehensive guide detailing the systematic process of security alert triage within Elastic Security SIEM. Learn how to classify, prioritize, and investigate potential threats using Kibana, advanced ES|QL queries, and ECS-normalized data. This workflow is crucial for SOC analysts to rapidly determine true positives, manage alert queues, and ensure effective incident response.

This skill guides the systematic process of mitigating endpoint vulnerabilities. It involves calculating a comprehensive risk score by combining CVSS, EPSS, and CISA KEV data to prioritize findings. The workflow covers deployment of patches via platforms like WSUS/SCCM/Intune, applying necessary configuration changes, handling zero-day workarounds, and validating the fix to ensure endpoint compliance and system security.

A comprehensive skill for Security Operations Center (SOC) teams and incident responders. It detects advanced lateral movement techniques, including Pass-the-Hash, PsExec, WMI, and RDP pivoting, by correlating Windows Security logs, Sysmon data, and network flow records within a SIEM. This capability is mapped to MITRE ATT&CK TA0008 and is essential for tracking an attacker's internal progression after initial compromise. Not intended for external attack detection.

This skill covers the technical process of setting up SSL/TLS inspection (decryption) on next-generation firewalls and proxies. It details how to act as a trusted Man-in-the-Middle to intercept, decrypt, and inspect encrypted HTTPS traffic for malicious payloads, data exfiltration, and policy violations. The workflow includes generating internal Certificate Authority (CA) certificates and deploying them across various operating systems (Windows, macOS, Linux) to ensure visibility into the web's encrypted blind spot.

This skill guides users through performing comprehensive threat modeling using the OWASP Threat Dragon tool. It covers creating Data Flow Diagrams (DFD), identifying vulnerabilities using established methodologies like STRIDE and LINDDUN, defining mitigations, and generating formal PDF reports. Ideal for secure design reviews, architecture validation, and achieving GRC compliance.

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.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

This skill analyzes accumulated usage logs from a complex research harness (ARIS) to propose structural optimizations. It identifies areas for improvement in SKILL scripts, default parameters, workflow ordering, and reviewer prompts. It is designed to automate the meta-level engineering process, ensuring that system efficiency is continuously improved based on real-world usage data.

This advanced workflow automates the process of analyzing the operational health of specific Azure resources. It ingests and analyzes raw logs, telemetry data, and performance metrics from diverse Azure services (e.g., VMs, Web Apps, Databases). The system performs comprehensive root cause analysis, classifies issues (Critical, High, Medium), and generates actionable, step-by-step remediation plans, significantly reducing manual troubleshooting time.