Run detection engineering from one control plane
Develop analytics with AI assistance, govern deployments across SIEMs, and measure coverage improvements against your business priorities.
- Analytics developed, approved and deployed
- Mapped coverage gains and remaining gaps over time
- Detection knowledge retained across platform changes
Make detection progress visible
Connect the work of your engineers and consultants to the analytics delivered and the coverage changes that matter to your organisation.
Measure improvement
Track mapped coverage over time for projects scoped by business priority, location or security domain. See gains, regressions and remaining gaps.
Support analytic development
Turn gaps into AI-assisted detection drafts. Review and refine them, then retain the approval and deployment evidence.
Retain your detection investment
Reuse detection knowledge when consultants leave or platforms change. Carry engineering context into your next migration.
Continuous Detection Assurance
Spot changes to deployed query text through scheduled drift checks. Give your team evidence to investigate departures from the deployment baseline.
Detection System of Record
Keep analytics, ownership, versions and approval history in one authoritative library outside the SIEM. Make changes traceable across teams and environments.
From detection development to deployment evidence
A shared library connects your engineering work to approvals, multi-SIEM deployments and coverage analysis.
One governed inventory for every detection
Keep analytics, ownership, mappings and version history in one library independent of your SIEM.
Connectors: Splunk, Elastic, Microsoft Sentinel, Google SecOps, CrowdStrike and QRadar. Google SecOps includes dashboard and standalone panel imports. Content and testing support varies by connector. Splunk and Elastic have completed live testing; Sentinel and Google SecOps are undergoing live verification.
Coverage across four MITRE knowledge bases
Scope your projects using ATT&CK Enterprise, ICS, Mobile or ATLAS, then prioritise gaps within that framework.
Measure coverage improvements over time
Use project coverage history to compare a baseline with later work. Track gains and regressions as your team develops analytics, with projects organised by business priority, physical location, domain or a combination.
What changed in this project?
Review changes in mapped techniques and sub-techniques, remaining gaps and the analytics assigned to the project.
Evidence for your progress report
Combine coverage history and exports with approval and deployment records to show what each reporting period delivered.
Keep scope consistent when comparing periods. Mapped coverage can include draft analytics and does not by itself establish detection effectiveness.
For the people funding and building detections
Security leaders
Assess progress from internal teams and consultants against agreed project priorities.
- Coverage trends and remaining gaps by project
- Evidence of approved changes and deployments
- Detection knowledge retained through staff and vendor changes
Detection and platform teams
Develop and manage analytics across everyday operations and SIEM migrations.
- AI-assisted authoring and translation with human review
- Controlled deployment across supported environments
- Version history and monitoring for deployed query drift
Measure the value in your environment
Establish the baseline
Import 50 analytics and 5 dashboards from one supported SIEM. Agree project scope and record the current coverage.
Develop and deploy
Generate up to 5 detection candidates, review them and deploy approved content to a separate namespace or test environment.
Review the evidence
Export project coverage and compare delivery effort, quality and remaining gaps against the baseline.