Run detection engineering from one control plane
SACMS gives security teams a governed product layer for the full detection lifecycle: AI-assisted engineering, multi-SIEM deployment, drift monitoring, and coverage assurance.
- Authoritative detection library outside the SIEM
- AI-assisted authoring, translation, and validation
- MITRE ATT&CK coverage by environment and boundary
- Governed deployment to Splunk, Elastic, Sentinel, CrowdStrike, and QRadar
- Approval workflow, version history, and audit trail
- Production drift monitoring against approved state
Detection capability degrades without continuous engineering
Security teams spend years building detection logic, tuning rules, mapping coverage, and capturing operational knowledge. Then it slowly breaks down: knowledge fragments, coverage becomes difficult to prove, production state drifts away from approved state, and platform changes put years of detection work at risk.
in enterprise SIEM environments
the evolving threat landscape
frequently or always
in software engineering
Detection knowledge is fragmented
Threat hunting, SOC, IR, and platform teams often manage separate rule sets. SACMS brings detection logic, intent, owners, mappings, versions, approvals, and deployments into one governed system of record.
Coverage improvement is hard to prove
New detections go live, but teams struggle to show what risk they reduced. SACMS connects each analytic to ATT&CK coverage so leaders can see what changed, what improved, and what still needs engineering work.
Production state silently diverges
Rules are edited directly inside SIEMs, emergency fixes bypass approval, and live content drifts from the authorised version. SACMS continuously compares deployed rules against the approved library state.
Detection capability is hard to move
Splunk SPL, Sentinel KQL, Elastic queries, QRadar logic, and Sigma rules do not naturally travel together. SACMS preserves detection intent and translates it with platform and schema context.
The control plane for detection lifecycle management
SACMS turns detection engineering into a governed product workflow: maintain the authorised system of record, engineer and translate analytics with AI assistance, validate before release, deploy across SIEMs, reconcile drift, and prove coverage with audit-ready evidence.
Detection System of Record
Keep every analytic, mapping, owner, approval, version, and deployment record in one vendor-neutral product inventory outside the SIEM.
AI-Assisted Detection Engineering
Author, tune, explain, and translate detections with target-platform context, environment schema, and human approval in the workflow.
Validate Before Release
Run detections against connected SIEM instances before deployment. Catch logic errors, noisy searches, and platform mismatches before they reach the SOC.
Governed Multi-SIEM Deployment
Promote detections through controlled stages with approval gates, deployment records, platform adapters, and production release visibility.
Audit-Ready Change History
Track every draft, edit, translation, test, approval, deployment, rollback, and deletion across the full detection lifecycle.
Measurable Detection Coverage
Map detections to ATT&CK by platform, environment, and boundary so coverage becomes a measurable engineering backlog.
Continuous Detection Assurance
Continuously compare deployed rules against the approved library version and surface drift before it becomes a silent coverage gap.
A demo path through the detection lifecycle
SACMS connects the operating loop in one product: preserve the authorised system of record, engineer with AI assistance, maintain equivalent analytics across SIEMs, deploy through governed workflows, and prove detection capability improved.
One governed inventory for every detection
Keep detection logic, intent, ownership, ATT&CK mappings, versions, approvals, and deployment records in one vendor-neutral system of record outside the SIEM.
One operating model across four MITRE knowledge bases
SACMS supports MITRE ATT&CK Enterprise, ICS, Mobile, and ATLAS. Each framework uses a visual model suited to its own structure, while preserving one consistent workflow for scoping, gap analysis, detection development, release, and assurance.
Built for teams that cannot afford detection drift
SACMS supports everyday detection operations, cloud transformation, and major SIEM migrations. Whether you are evaluating SaaS, moving to the cloud, running a hybrid estate, or already operating a cloud-native SIEM, the value is the same: know what you detect, prove what changed, and preserve what you built.
Need a defensible view of what the organisation can detect, what changed, what drifted, and where investment is still required.
- Live detection coverage by environment and platform
- Audit-ready history of changes, approvals, and deployments
- Reduced SIEM migration risk and vendor lock-in
- Board-ready reporting beyond raw rule counts
Need to build, test, translate, deploy, and improve analytics without losing context across tools, teams, or SIEM platforms.
- One library for detection intent, query logic, mappings, and ownership
- Gap-based analytic development from MITRE coverage views
- Context-aware translation across Splunk, Elastic, Sentinel, QRadar, and Sigma
- Version history and rollback visibility for every analytic
Whether you are moving from on-premises to SaaS, changing SIEM vendors, consolidating platforms, or evaluating a cloud-first operating model, SACMS preserves detection capability throughout the transition.
- Preserve detection knowledge outside the SIEM before change begins
- Translate and validate content against the target platform with environment context
- Run hybrid and multi-SIEM environments during phased migration
- Measure detection parity before, during, and after cutover
Need to manage detection content consistently across customers, tenants, platforms, and service levels.
- Tenant-aware detection content management
- Reusable shared libraries with customer-specific overrides
- Consistent deployment workflows across client environments
- Coverage and change reporting per customer
Need to modernise detection engineering as the organisation moves to the cloud, adopts a SaaS SIEM, or scales an existing cloud-native security operation.
- Preserve years of detection investment before cloud migration
- Support hybrid environments while workloads and telemetry move in phases
- Continuously validate analytics against SaaS SIEM environments
- Keep detection content portable as the cloud estate and vendor mix evolve
Move from rule counts to detection assurance
The real question is not how many detections do we have? It is what can we reliably detect, where are we exposed, and what changed this week? SACMS maps detection coverage across security boundaries, highlights gaps, and turns them into a prioritised engineering backlog.
How coverage is calculated
Each node's coverage percentage is a composite of three metrics across the MITRE ATT&CK techniques relevant to that security boundary:
Coverage % = (Detected) × 100 ÷ (Detected + Gaps)
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Detected Techniques with active, tested detection rules in the SIEM
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Gaps Applicable techniques with no detection in place — the backlog for analytic development
Most organisations discover significant coverage gaps when they map their environment for the first time.
Map your coverage →One governed lifecycle for every detection
Start with coverage
Map existing detections to ATT&CK, identify gaps, and prioritise the techniques that matter most to each security boundary or environment.
Govern the release
Translate, validate, approve, and deploy detections through controlled workflows so production changes are visible, reviewed, and recoverable.
Prove what changed
Track deployment status, version history, drift, approvals, and coverage impact so teams can show exactly what improved and where risk remains.