Overview
SCU Cost Estimate This agent typically consumes 0.2 – 1.0 SCUs per analysis run, depending on the number of analytic rules and depth of telemetry validation. Larger Sentinel workspaces with many analytic rules or extended ATT&CK correlation will require higher SCU usage.
Introduction
Attack Mapping Agent ensures that your MITRE ATT&CK coverage metrics in Microsoft Sentinel are accurate, consistent, and operationally meaningful. It automatically inventories all analytic rules, validates their ATT&CK tactic, technique, and sub-technique assignments, and provides precise remediation recommendations for automation or analyst review.
By cross-referencing detection logic, telemetry samples, and canonical MITRE ATT&CK data, the agent identifies incorrect, missing, or inconsistent mappings — helping security teams maintain trustworthy reporting and effective detection coverage.
What It Does
Automatically inventories all analytic rules in Microsoft Sentinel
Validates assigned ATT&CK tactics, techniques, and sub-techniques
Detects missing or malformed ATT&CK metadata
Correlates rule logic and telemetry samples with ATT&CK techniques
Suggests corrections and normalization actions
Produces automation-ready output for dashboards, pull requests, or tickets
Highlights mapping drift and coverage gaps over time
Use Cases
1. Maintaining Accurate MITRE Coverage Metrics
MITRE ATT&CK coverage is only as reliable as its mappings. The agent continuously audits your analytic rules to ensure all tactics and techniques are valid and properly formatted, giving you dependable metrics for security posture reporting.
2. Accelerating Analytic Rule Reviews
Manual mapping validation across hundreds of rules is tedious and error-prone. This agent automatically evaluates mappings against canonical ATT&CK data and your rule logic, dramatically reducing review time while improving consistency.
3. Detecting Mapping Drift After Rule Updates
As analytic rules evolve through tuning or import, ATT&CK tags often drift from their intended alignment. The agent continuously compares updated rules to previous baselines and flags inconsistencies to prevent inaccurate reporting.
4. Normalizing Metadata for Automation and Reporting
Analytic rules may contain inconsistent or duplicate ATT&CK tags. The agent cleans, deduplicates, and translates them into canonical MITRE IDs, standardizing metadata for automated dashboards and PR pipelines.
5. Supporting Detection Engineering and Threat Hunting
With validated ATT&CK mappings, detection engineers and threat hunters can focus on real coverage gaps rather than debugging metadata issues. The agent provides clear rationales for every change, improving trust and collaboration between teams.
Why Attack Mapping Agent?
Challenges It Solves
Inaccurate or incomplete MITRE mappings lead to unreliable coverage metrics
Manual validation across large environments takes days
Rule updates cause silent mapping drift
Malformed or inconsistent metadata breaks automation and dashboards
Lack of correlation between detection logic and ATT&CK framework reduces analytical value
Large-scale updates are prone to human error
Benefits You Get
Accurate, validated MITRE ATT&CK mappings across your Sentinel workspace
Automated inventory and normalization of analytic rule metadata
Canonical alignment with ATT&CK knowledge base for consistent reporting
Rationalized recommendations for quick analyst review or automation
JSON-based output ready for CI/CD integration or Power BI dashboards
Continuous verification to prevent drift after rule modifications
How It Works
What Goes In
Microsoft Sentinel analytic rule metadata
Detection logic and correlated telemetry samples
MITRE ATT&CK knowledge base for validation
Optional Defender and Advanced Hunting data for contextual enrichment
What It Does
Collects and normalizes analytic rule ATT&CK metadata
Compares tactic, technique, and sub-technique tags to canonical MITRE definitions
Cross-references detection logic with related telemetry to verify mapping accuracy
Identifies missing, malformed, or inconsistent metadata entries
Synthesizes mapping corrections with clear justifications
Generates a structured output suitable for automation or analyst workflows
What You Get
Executive summary of MITRE coverage validation results
Normalized and corrected ATT&CK mappings per analytic rule
Contextual rationales explaining suggested changes
Canonical rule identifiers and cleaned metadata
Coverage gap and mapping drift insights
JSON report structure designed for PRs, dashboards, and issue tracking
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