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This skill outlines the development of an automated pipeline to ingest raw Indicators of Compromise (IOCs) from various sources. It performs normalization, defanging (e.g., converting 'http://' to 'hxxp://'), and converts indicators into the standardized STIX 2.1 format. The processed, safe indicators can then be securely distributed via TAXII feeds, MISP, and other threat intelligence platforms.

This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.

This solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.

This tool assists in defining a structured Security Operations Center (SOC) escalation matrix. It maps incident response procedures based on severity (P1-P4), asset criticality, and business impact. Users can model tiered response paths, set Service Level Agreements (SLAs), and implement context-driven automatic escalation triggers to ensure rapid and consistent handling of cybersecurity incidents.

This guide details the deployment and usage of MISP (Malware Information Sharing Platform) to centralize, correlate, and distribute threat intelligence. It covers architectural concepts, integrating diverse OSINT and commercial feeds (like abuse.ch, AlienVault OTX), and automating the flow of Indicators of Compromise (IOCs) into SIEM and SOAR systems via Docker and Python APIs.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

This skill provides a comprehensive framework for building automated pipelines that ingest, normalize, and operationalize threat intelligence (TI). It connects diverse sources—including STIX/TAXII feeds, open-source feeds (e.g., Abuse.ch), and commercial TI platforms—into SIEM and security tools. Use this when SOC teams need to automate the entire lifecycle of IOC ingestion, scoring, and real-time matching against network telemetry.

A comprehensive guide on building a unified Threat Intelligence Platform (TIP). This skill covers deploying and integrating multiple core CTI tools (MISP, OpenCTI, TheHive, Cortex) into a single system. Learn to design the architecture, configure feed ingestion pipelines, automate IOC enrichment, and ensure standardized intelligence sharing using STIX/TAXII standards.

This framework provides a comprehensive solution for tracking vulnerability aging and measuring remediation performance against defined Service Level Agreements (SLAs). It helps organizations enforce severity-based timelines, calculate key performance indicators (KPIs) like Mean Time to Remediate (MTTR), and automate escalation procedures to ensure continuous compliance and improve overall security posture.

DefectDojo is an open-source platform designed to centralize, aggregate, and manage security vulnerabilities. It integrates findings from over 200 security scanners (e.g., Nessus, ZAP, Trivy), automatically deduplicates results, tracks remediation progress, and provides executive-level dashboards. It supports robust workflows, including CI/CD pipeline integration and Jira ticketing, making it essential for DevSecOps practices and compliance adherence.

This system manages vulnerabilities that cannot be remediated within Service Level Agreement (SLA) timelines. It provides structured workflows for requesting exceptions, documenting compensating controls, obtaining formal risk acceptance approvals, and automatically managing expiration. It helps organizations maintain visibility into accepted risks to comply with major frameworks like PCI DSS, SOC 2, and NIST CSF.

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.