Detection System of Record

Prove your detection works — not just that it exists

SecuMap aligns threat intelligence, detections, security tools, and validation to MITRE ATT&CK — then measures effectiveness through live detection signals to show what actually works.

Detection is no longer assumed — it is continuously proven.

  • Align everything to ATT&CK
  • Measure through live detection signals
  • Continuously improve detection

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The problem

Are our detections actually working today?

You already have SIEM dashboards, ATT&CK heatmaps, BAS reports, intel feeds, spreadsheets, and backlogs. Most organisations still cannot show — with evidence — whether detections work in practice right now, not on a roadmap.

SecuMap exists to make detection capability measurable, governable, and continuously improvable: a Detection System of Record, not another chart. For the full pattern-and-category explainer, read what is a Detection System of Record?

Category definition

What is a Detection System of Record?

SecuMap is a Detection System of Record (DSoR) — a vendor-neutral governance layer that continuously maps threat intelligence to detection coverage, measures detection effectiveness, and governs detection health across the full threat-to-detection operating loop.

The category is architecturally distinct from all adjacent tools. It does not ingest telemetry, enforce controls, simulate adversaries, or produce intelligence. It governs how those systems combine to produce measurable, improvable detection health.

The governed triad

A DSoR unifies three governed conditions: what should work (coverage), what can work (infrastructure health), what does work (effectiveness).

Open the product category hub → Read the category explainer →
Operating model

The same idea in two forms: a quick sequence for reading, and a continuous loop on the hub (no single “start” — improvement feeds back into what you measure next).

ThreatValidationDetectionLive signalsImprovement

Threat → Validation → Detection → Live signals → Improvement

See the threat detection loop diagram and narrative on the product category hub.

From spreadsheets to a real programme

Most teams still run detection from disconnected tools and files.

The gap is rarely “more SIEM features.” It is one place that ties use cases, ATT&CK mapping, BAS output, and incidents together — with owners and lifecycle state you can audit.

Why most detection programmes don’t scale

Typical programme
With a Detection System of Record
Manual Use Case Management Spreadsheets tracking logic without lifecycle, ownership, or validation state.
Single System of Record Every detection use case is centrally owned, lifecycled, and governed.
Static Coverage Mapping ATT&CK Navigator as a visual heatmap that lacks operational depth.
Live Adversary Alignment Coverage tied to active, deployed detections with real-time health signals.
Periodic Validation Reports Quarterly BAS results that remain idle and disconnected from engineering loops.
Continuous Control Validation Automated BAS and Purple Team results integrated as live validation signals.
Information Silos No traceable link between Threat Intelligence, detection logic, and incident outcomes.
Full Lifecycle Traceability A transparent thread from intelligence to logic, validation, and final outcomes.
Inference-Based Reporting Inability to prove if detections are functional at this exact moment.
Evidence-Based Assurance Board-level metrics provided through continuous measurement, not assumption.
Structured comparison

Programme signals at a glance

SecuMap is a Detection System of Record that provides persistent measurement of detection health. The table below summarises how a governed programme differs from a typical tooling-led approach across ownership, validation, and evidence.

Typical detection programme compared with a Detection System of Record
Area Typical programme With SecuMap (DSoR)
Ownership Spreadsheets and ad-hoc files without a single owner of record. Central ownership of use cases, lifecycle state, and accountability.
Validation Periodic BAS or purple-team PDFs disconnected from engineering. Continuous validation signals tied to deployed detection logic.
Evidence Slides and inferred coverage without live operational proof. Evidence-based metrics linking intel, rules, incidents, and health.
Governance: SecuMap DSoR
SIEM · EDR · NDR
BAS & Validation Platforms
Threat Intelligence (CTI)
Infrastructure & Telemetry Health
Where it sits

Governance layer,
not another box in the stack.

SIEMs ingest, EDRs alert, BAS tools run scenarios. None of them persist a full picture of detection health across intel, rules, validation, and live operation.

SecuMap is not another tool in the workflow — it is the system of record that records, connects, and governs those execution and measurement tools.

SecuMap connects those signals into one model. We do not replace your stack; we make it possible to report and improve detection using the same evidence your engineers already work from.

Technical architecture →
The Platform

System-level visibility across
MITRE ATT&CK and the detection lifecycle.

Tactical MITRE ATT&CK heatmaps and strategic views aligned to the MaGMa Use Case Framework (UCF) — L1/L2/L3 lifecycle, Cyber Killchain grouping, and maturity metrics in one product so coverage stays linked to deployed logic and validation.

Tactical: MITRE ATT&CK Heatmap
Product screenshot of SecuMap: MITRE ATT&CK effectiveness heatmap dashboard showing coverage and effectiveness by tactic

Live visibility into adversary technique coverage and efficacy percentages.

Strategic: MaGMa Use Case Framework (UCF)
Reconnaissance
24 production rules
Delivery
9 rules • BAS validated
Exploitation
Effectiveness: 58%
Actions on Objectives
Drift detected (3d ago)

Strategic Use Case Overview pattern: L1–L3 hierarchy and lifecycle governance from threat intelligence through logic authoring and control validation — as operationalised through the MaGMa Use Case Framework (UCF).

From intel to deployed logic

Use-case maturity under the MaGMa Use Case Framework (UCF), BAS signals, and operational drift in one traceable model — not separate spreadsheets per team. See the live Strategic Use Case Overview on the Platform page.

What leadership actually asks

Four questions most teams answer with guesses.

SecuMap is built to answer them from live linkage between intel, detections, validation, and operations — not from quarterly slide updates.

Where are we exposed?
ATT&CK-aligned view tied to deployed rules and current gaps — not vendor marketing maps.
Which threats matter most right now?
Intel prioritised against your environment and what you already detect.
Which detections actually work?
BAS and simulation in the same lifecycle as the rules — not a PDF that ages in a folder.
What should we do next?
Priorities from the Detection System of Record — less backlog churn, more defensible sequencing.
Common questions

Questions practitioners ask
about detection governance.

Direct answers to the queries security teams bring to SecuMap.

SecuMap is a Detection System of Record (DSoR) — a vendor-neutral governance layer that continuously maps threat intelligence to detection coverage, measures detection effectiveness, and governs detection health across the full threat-to-detection operating loop. Learn more →

MaGMa is a use case maturity framework for security monitoring. It structures detection use cases across Management, Growth, and Metrics & Assessment. SecuMap operationalises MaGMa within a live Detection System of Record. See the full methodology →

A SIEM is an execution layer — it ingests telemetry and generates alerts. SecuMap is a governance layer that operates above the SIEM, defines what it should detect, tracks whether detections are working, and provides lifecycle governance. The SIEM executes. SecuMap governs.

Coverage is static — it captures the presence of detection rules without indicating whether they are operational or validated. Effectiveness is dynamic — it requires lifecycle management, continuous validation, and measurement against real adversary behaviour. Coverage is a belief. Effectiveness is a discipline.

Detection Infrastructure Health is the operational layer for whether detections can function. It has two dimensions: technical signal health (data path, parsing, latency, integrations) and platform and service health (availability, incidents, change, capacity, SLAs). Category definition → Architecture → The hidden variable (blog) →

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