ATT&CK-Based Detection for Federal Agencies
September 25, 2026 · SOCPrime · Severity: MEDIUM
ATT&CK-based detection for federal agencies requires deploying detection rules mapped to MITRE ATT&CK techniques, translating them to the agency's SIEM, and measuring coverage to produce auditable evidence. The three key components are a detection content source, a translation layer, and a coverage measurement loop. 📌 **Analyst Note:** Federal agencies under executive orders need to demonstrate detection effectiveness; this framework provides a structured approach to meet compliance and operational requirements.

ATT&CK-based detection for a federal agency is the practice of deploying detection rules mapped to MITRE ATT&CK techniques, translating those rules to the agency’s own SIEM, and measuring coverage so the agency can produce auditable evidence that detection is working.
Federal agencies operate under executive orders, OMB memos, and performance goals that point to one operational outcome: detect adversary techniques against agency telemetry and produce evidence that detection is working.
Three components deliver that outcome. An ATT&CK-mapped detection content source provides the rules. A translation layer converts each rule to the native query language of the agency’s deployed SIEM, whether that is Microsoft Sentinel, Splunk, or Elastic. A coverage measurement loop proves which ATT&CK techniques are covered, which are not, and when coverage was last validated.
Without all three, an agency has either detection it cannot prove or proof it cannot act on. This page maps federal guidance to detection requirements and gives a federal buyer the questions to ask any detection content vendor.
What tools help implement ATT&CK-based detection quickly in a federal agency?
Three tool categories implement ATT&CK-based detection in a federal agency: a detection content source, a translation layer, and a coverage measurement loop. Each can come from a vendor, from open source, or from internal engineering. A federal buyer should evaluate each independently because each can come from a different provider.
| Component | Function | Neutral examples |
|---|---|---|
| ATT&CK-mapped detection content source | Pre-written detection rules, each mapped to a MITRE ATT&CK technique | SOC Prime Prime Hunt, Sigma community rules, CISA detection signatures, native content packs from Microsoft Sentinel, Splunk, Elastic |
| Translation layer | Converts detection logic to the query language the agency’s SIEM runs | SOC Prime Uncoder, Sigma CLI, manual rule porting |
| Coverage measurement loop | Maps which ATT&CK techniques have deployed, validated detections and which have gaps | MITRE ATT&CK Navigator, custom ATT&CK heatmaps, vendor coverage dashboards |
A content source alone is not detection capability, and a translation tool alone is not coverage. The measurement loop connects the two to evidence an auditor or inspector general can verify.
Detection content source. A library of rules mapped to MITRE ATT&CK technique IDs, authored and maintained at a cadence that keeps pace with published threat activity. Sources include internal detection engineering teams writing rules in Sigma, vendor-supplied content streams such as SOC Prime‘s detection content platform, the open-source Sigma rule community, and MITRE’s own ATT&CK repository.
Translation layer. Converts rules from a portable format into the native query syntax of the agency’s SIEM. For Microsoft Sentinel that means KQL. For Splunk, SPL. For Elastic, KQL or EQL. SOC Prime’s Uncoder handles this translation across platforms. Manual conversion and platform-native import tools are alternatives, though they carry a per-rule labor cost that compounds as rule volume grows.
Coverage measurement loop. Maps deployed rules back to the ATT&CK matrix and identifies technique gaps. MITRE’s ATT&CK Navigator is a free, widely used tool for this visualization. The loop is where the five evidence classes an inspector general looks for originate.
Those five evidence classes are the through-line of this page.
| # | Evidence class | What it proves |
|---|---|---|
| 1 | Log sources collected | Which telemetry is ingested, from which systems, and that collection is continuous |
| 2 | Rules deployed | Each detection rule mapped to its ATT&CK technique and the obligation it supports, with a named owner |
| 3 | Proof of firing | Rules fired on real or emulated events and alerts reached responders |
| 4 | Change history | Who changed a rule, when, and why, with version control and a review trail |
| 5 | Dated coverage report | Point-in-time coverage with a date, so trend and currency are provable |
A vendor may provide the content source and the translation layer. The measurement loop often requires the agency to configure its own reporting from ATT&CK Navigator exports, SIEM dashboards, or third-party coverage analytics. The measurement loop is the component agencies most commonly lack.
Prime Hunt’s read-only data audit maps the log sources an agency already collects to ATT&CK and lists the techniques with no telemetry behind them.
How does CISA and NSA threat-informed defense guidance translate into detection requirements?
Federal guidance prescribes outcomes, not specific detection tools. CISA, often jointly with NSA, publishes advisories and guidance that define what agencies must achieve in detection and monitoring. Mapping each guidance document to the detection capability it implies, and then to the evidence that capability produces, gives a program manager a traceable line from directive to operational proof.
| Guidance | Implied detection capability | Evidence class |
|---|---|---|
| OMB M-26-14 (22 May 2026, rescinds M-21-31) | Log collection measured per information system on a five-level logging maturity model, Level 0 to Level 4 | Log sources collected |
| EO 14144 (16 January 2025) as amended by EO 14306 (6 June 2025) | Threat identification across the federal enterprise: CISA threat hunting and agency endpoint detection and response data (EO 14144 Sec. 3(c), redesignated Sec. 3(a) by EO 14306) | Rules deployed, proof of firing |
| CISA Best Practices for MITRE ATT&CK Mapping (v2.0, January 2023) and the Decider tool | Structured ATT&CK technique attribution on deployed detections | Rules deployed (ATT&CK-mapped) |
| CISA Cross-Sector CPG 2.0 (11 December 2025) | Baseline performance goals for detection and response, including the Govern function added in version 2.0 | Rules deployed, dated coverage report |
| NIST SP 800-61 Rev 3 (final, 3 April 2025, CSF 2.0 community profile) | Detect-to-respond evidence chain per CSF 2.0 | Proof of firing, change history |
| CISA/NSA joint cybersecurity advisories | ATT&CK technique coverage against named threat actors and campaigns | Rules deployed against named techniques |
Key Takeaways
- ATT&CK-based detection for a federal agency involves deploying detection rules mapped to MITRE ATT&CK techniques, translating those rules to the agency's own SIEM, and measuring coverage to produce auditable evidence that detection is working.
- Three components deliver that outcome: an ATT&CK-mapped detection content source, a translation layer that converts rules to the native query language of the agency's SIEM, and a coverage measurement loop.
- Without all three components, an agency has either detection it cannot prove or proof it cannot act on, so federal buyers must ask detection content vendors about these capabilities.