Skill UI

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.

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 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 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.

This comprehensive guide outlines the end-to-end workflow for mobile device forensics, covering data acquisition and analysis for both iOS and Android platforms. It details techniques using commercial tools like Cellebrite UFED and open-source utilities (ALEAPP, iLEAPP, ADB). This methodology is critical for investigating deleted messages, call logs, location data, and application artifacts in legal or corporate investigations.

This guide provides a comprehensive workflow for recovering deleted files from forensic disk images and storage media. Utilizing PhotoRec and file signature carving techniques, it addresses scenarios where file systems are corrupted, formatted, or metadata is unavailable. The process includes setup, running the recovery tool in both interactive and command-line modes, and advanced steps for organizing, hashing, and validating file integrity.

A comprehensive guide for systematically assessing REST and GraphQL API endpoints against the OWASP API Security Top 10 risks. This includes practical workflows for testing critical vulnerabilities such as Broken Object Level Authorization (BOLA), broken authentication, excessive data exposure, and rate limiting, using tools like Burp Suite, Postman, and ffuf. Ideal for pre-deployment audits and authorized penetration testing engagements.

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 playbook guides Security Operations Center (SOC) analysts through a comprehensive, multi-step process for triaging and prioritizing security incidents. It covers receiving alerts from SIEM/EDR, enriching data using threat intelligence feeds (VirusTotal, AbuseIPDB), classifying the incident type (MITRE ATT&CK mapping), and calculating a severity score based on asset criticality and data sensitivity. The workflow culminates in automating ticket creation and triggering immediate response procedures via tools like PagerDuty.

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 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.