Skill UI

This skill guides the integration of gitleaks and trufflehog into CI/CD pipelines. It automates the detection of hardcoded secrets, such as API keys, passwords, and tokens, preventing their accidental deployment. By integrating scans as a mandatory pre-deployment gate, organizations enforce strong security policies and maintain compliance.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

Systematically optimizes Security Information and Event Management (SIEM) detection rules in platforms like Splunk and Elastic. This process involves analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and statistically adjusting detection thresholds to significantly reduce false positives, improving overall security efficacy.

This skill guides the process of designing, implementing, and validating advanced security detection use cases for Security Information and Event Management (SIEM) platforms like Splunk, Elastic, and Microsoft Sentinel. It focuses on mapping organizational threat profiles to the MITRE ATT&CK framework to build formal, high-fidelity detection rules, thereby strengthening Security Operations Center (SOC) coverage and reducing blind spots.

This skill provides a comprehensive guide to implementing robust USB device control policies. It restricts unauthorized removable media access to mitigate data exfiltration risks and prevent malware introduction via USB endpoints. Learn how to deploy granular policies using Group Policy Objects (GPO), Microsoft Intune, or advanced Endpoint Detection and Response (EDR) platforms to meet strict compliance standards.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

This guide details how to implement NextDNS as a zero-trust DNS filtering layer. By utilizing encrypted resolution (DoH/DoT) and real-time threat intelligence, it blocks malicious domains, prevents data exfiltration, filters ads/trackers, and enforces granular security policies across all endpoints, aligning with Zero Trust principles and enhancing overall network security.

This guide details the implementation of Zero Trust Architecture for securing Software as a Service (SaaS) applications. It leverages Conditional Access Policies, CASB (Cloud Access Security Broker), and Identity Governance to enforce strict identity verification, device compliance, and data loss prevention (DLP) across cloud environments (e.g., M365, Salesforce). It helps mitigate risks associated with shadow IT and excessive application permissions.

This skill guides developers through integrating Static Application Security Testing (SAST) tools like CodeQL and Semgrep into GitHub Actions CI/CD pipelines. It covers automating code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results, and establishing quality gates to prevent vulnerable code from merging into production.

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.

A comprehensive guide to executing cloud-native incident containment procedures across major platforms including AWS, Azure, and GCP. Learn how to systematically isolate compromised resources, revoke malicious credentials, apply network restrictions (Security Groups/ACLs), and capture forensic evidence to prevent lateral movement during a security event. Essential for security assessments and incident response.

This skill guides users on performing deep runtime threat detection and forensics in cloud-native environments using Falco. It leverages Falco YAML rules to monitor syscalls, detecting critical security events such as shell spawning, file tampering (e.g., /etc/shadow), network anomalies, and privilege escalation within containers and Kubernetes clusters. Ideal for incident response, security auditing, and validating container runtime security controls.