Detection System of Record
Prove your detection works — not just that it exists
See what your current SIEM, EDR, BAS, and CTI stack is really detecting right now, where confidence is weak, and what to fix next.
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.
- Map priority threats to MITRE ATT&CK detection coverage across your existing tools.
- Track detection validation evidence and production outcomes in one lifecycle.
- Govern threat-informed detection without replacing SIEM, EDR, BAS, or CTI.
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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?
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.
A DSoR unifies three governed conditions: what should work (coverage), what can work (infrastructure health), what does work (effectiveness).
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
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.
| 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 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 →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) — Cyber Kill Chain grouping, Tactical Use Case (Intent) records, operational procedures, and maturity metrics in one product so coverage stays linked to deployed logic and validation.
Live visibility into adversary technique coverage and efficacy percentages.
Strategic Use Case Overview pattern: Cyber Kill Chain grouping, Tactical Use Case (Intent), and operational procedures 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.
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.
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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Detection lifecycle management in the product
Real product screenshots of pipeline health, threat-driven gap prioritisation, procedure-to-rule mapping, and alert-governance outcomes are now available on the Detection Lifecycle Management page.
Build confidence in the operating model
Start with operational pain, then move through lifecycle, effectiveness, and hidden infrastructure failure toward strategic synthesis in a Detection System of Record.