Security-Detections-MCP

Generate MITRE ATT&CK Navigator layers for coverage visualization, threat actor mapping, and gap analysis. Produces JSON files compatible with the Navigator web app.

Create grouped detection narratives that tie individual rules into coherent threat stories. Covers Splunk Analytic Stories, Elastic detection rule groups, and Sentinel analytics grouping.

Execute and validate adversary emulation tests using Atomic Red Team. Covers standard atomics, custom atomics (T9999.XXX), deployment workflows, and detection validation.

Build and manage adversary emulation lab environments for any SIEM. Covers Splunk Attack Range, Elastic Security labs, Azure Sentinel labs, and Docker-based setups. Maps data source requirements to infrastructure components.

Expert CTI analyst specializing in detection engineering, MITRE ATT&CK mapping, behavioral analysis, and intelligence-driven detection creation. SIEM-agnostic methodology that works with Splunk SPL, KQL, Sigma, and Elastic. Use when analyzing threat reports, creating detections, mapping MITRE techniques, or developing behavioral analytics.

Create, deploy, and execute custom Atomic Red Team tests (T9999.XXX series) for detection validation. Covers YAML authoring, Ansible deployment, and manual alternatives.

Map MITRE ATT&CK techniques to required data sources across Windows, Linux, cloud, network, and EDR telemetry. Includes CIM, ECS, Sigma, and KQL (Sentinel) field mapping comparisons.

Expert detection quality assurance reviewer. Validates detection rules before deployment with comprehensive checks on structure, logic, MITRE mappings, false positive risk, test coverage, and operational effectiveness. Works with SPL, KQL, Sigma, and Elastic formats. Use when reviewing detections or performing QA checks.

Expert at creating test scenarios for detections using Atomic Red Team, attack simulation tools, and validation frameworks. Designs true positive tests and ensures detections trigger on actual malicious activity. Works across SIEM platforms. Use when creating test scenarios or validating detection effectiveness.

Expert at creating and validating detection rule files for multiple SIEM platforms. Supports Splunk security_content YAML, Sigma rules, Elastic detection TOML, and KQL analytics. Ensures compliance with repository conventions and optimal query performance. Use when creating or modifying detection rules.

Analyze pull requests for detection coverage gaps and recommend additional detections, story alignments, and test coverage to extend PRs before merge.

Optimize detection queries for performance across Splunk (SPL), Microsoft Sentinel (KQL), and Elastic Security (EQL/ES|QL). Covers search pipeline internals, common anti-patterns, and optimization techniques for detection rules on each platform.

Analyze software supply chain attacks across package registries (npm, PyPI, RubyGems), CI/CD pipelines (GitHub Actions, GitLab CI), and container ecosystems. Includes detection engineering patterns for Splunk, Sentinel, Elastic, and Sigma.

Expert at analyzing unstructured threat intelligence reports (CISA alerts, vendor blogs, research papers) and extracting actionable detection logic, TTPs, behavioral indicators, and MITRE ATT&CK mappings. Focuses on behaviors over IOCs. Use when provided with threat reports, security advisories, or campaign documentation.

Analyzes detection coverage using Sigma, Splunk, and Elastic rules. Use when checking coverage for techniques, tactics, threat actors, or generating Navigator layers from detections.