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 guide details the implementation of microsegmentation using Akamai Guardicore, enabling organizations to map complex application dependencies, visualize east-west traffic flows, and enforce least-privilege network policies. It is crucial for achieving zero-trust compliance by preventing lateral movement across heterogeneous workloads in data centers, cloud environments, and Kubernetes clusters.

A comprehensive guide to implementing Mimecast Targeted Threat Protection (TTP). This suite defends against sophisticated phishing, spearphishing, and Business Email Compromise (BEC) attacks by integrating four core modules: URL Protect, Attachment Protect, Impersonation Protect, and Internal Email Protect. Follow the detailed workflow to secure your organizational communications and meet compliance standards.

This tool implements network segmentation based on the Purdue Enterprise Reference Architecture (PERA). It helps secure Industrial Control Systems (ICS) by mapping assets and data flows to specific Purdue levels (0-5), defining necessary firewall rules, and establishing DMZs. It ensures strict traffic control between IT and OT domains, adhering to standards like IEC 62443 and facilitating secure network retrofitting.

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 guides the implementation of Security Orchestration, Automation, and Response (SOAR) workflows using platforms like Splunk Phantom. It automates the entire incident lifecycle, including alert triage, IOC enrichment (via VirusTotal, CrowdStrike), containment actions, and ticket creation (ServiceNow). Ideal for SOC teams needing to reduce Mean Time To Respond (MTTR) and standardize complex security procedures across multiple tools.

A comprehensive guide for SOC analysts and digital forensics experts. This skill covers the entire lifecycle of a phishing incident, from initial user report and header analysis (SPF, DKIM, DMARC) to detonating malicious URLs/attachments in sandboxes. It guides users on scoping the attack, identifying impacted users via SIEM/proxy logs, and executing containment measures like email purges.

A comprehensive guide and workflow for digital forensic investigators to analyze ransomware artifacts. This process involves preserving volatile evidence (memory dumps), identifying the ransomware variant from file extensions and ransom notes, establishing the attack timeline using Prefetch and Event Logs, and extracting critical Indicators of Compromise (IoCs) such as Bitcoin addresses and Tor sites. Essential for incident response and recovery planning.

This guide provides a systematic, step-by-step workflow for Security Operations Center (SOC) analysts to perform alert triage using Elastic Security SIEM. It covers initial alert assessment, context gathering using advanced ES|QL queries, threat intelligence enrichment, and final classification decisions (True Positive, False Positive, etc.) to rapidly determine genuine security threats and prioritize incident response actions.

CAPE is an open-source sandbox built for automated malware analysis, derived from Cuckoo. It provides advanced behavioral monitoring, payload dumping, and configuration extraction using over 70 parsers for known malware families (e.g., Emotet, Cobalt Strike). It captures network IOCs, dropped files, and detects anti-evasion techniques, making it ideal for security assessments and incident response workflows via its robust API.

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.