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Apt Group Mitre Navigator Analysis
Transform APT threat intelligence into MITRE ATT&CK Navigator layers and prioritized detection gap analyses.
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You say
Analyse APT29 using MITRE ATT&CK Enterprise. Produce a Navigator layer specification and a detection gap analysis. I have attached our SIEM use case register as the coverage evidence source. Focus on Windows and identity platforms.
Your agent does
The skill confirms the ATT&CK domain and platform scope, produces an APT29 group profile summary with aliases and ATT&CK group ID, maps all documented techniques to tactics and sub-techniques, generates a Navigator layer specification in structured JSON-ready format with colour coding for covered, partially covered, and gap techniques, classifies detection coverage from the supplied SIEM use case register only, produces a gap register for uncovered high-priority techniques, and outputs a prioritised detection engineering backlog with data source requirements for each gap technique. All unconfirmed coverage is marked as unknown, and analyst validation questions are included for ambiguous mappings.
What you get
About this skill
What it does
This skill transforms threat intelligence into actionable cyber defense strategies. It analyzes APT groups, campaigns, and TTP sets to generate MITRE ATT&CK Navigator layers, detection gap analyses, and prioritized engineering backlogs. By mapping actor behavior against your specific security stack, it identifies exactly where your monitoring is blind and where it is robust.
Why use this skill
Unlike basic LLM prompting, this skill follows a strict defensive methodology to ensure accuracy and appliance neutrality. It prevents "hallucinated coverage" by requiring evidence before marking a technique as detected. It bridges the gap between raw threat intel and SOC operations by producing machine-readable Navigator JSON and human-readable risk summaries, ensuring your detection engineering team focuses on the highest-probability threats.
Supported Analysis & Outputs
- ATT&CK Navigator Integration: Generates and validates functional JSON layer specifications for visualization.
- Gap Analysis: Compares actor techniques against EDR, SIEM, and NDR rule sets to find coverage holes.
- Detection Prioritization: Ranks techniques based on actor usage, data source feasibility, and environment relevance.
- Threat Profiling: Summarizes intrusion sets and campaigns with precise technique-to-tactic mapping.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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