See How Detection Teams Use Rilevera

Continuously validate detection logic, close coverage gaps, and keep your rule library healthy across every platform.

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Ensure Detections Are Working
Shift from "trust me" to provable detection health.

Rilevera continuously validates every rule against real logic — catching silent failures before they become breaches. No more quarterly fire drills or manual purple team cycles.

Document Every Detection Rule
Onboard analysts faster. Reduce response errors.

Rilevera auto-generates documentation, response context, and analyst playbooks. Your SOC knows exactly what each rule detects, why it exists, and how to respond when it fires.

Improve Rules Over Time Without Guesswork
Stop measuring how busy you are. Start measuring how

Rilevera tracks drift, surfaces broken logic, and recommends improvements automatically — turning reactive firefighting into continuous, measured detection engineering.

Adopt Detection-as-Code Without
Custom Dev
Software engineering discipline, zero custom development.

Full lifecycle management out of the box — versioned, tested, peer-reviewed detections with no pipelines to build, no CI/CD to configure, no engineering resources to dedicate.

Prove MITRE ATT&CK Coverage Depth
From vanity coverage maps to real detection efficacy.

A checkbox on a MITRE heat map isn’t coverage. Rilevera maps validated detections to techniques with depth scoring so you know the probability of catching each technique, not just that a rule exists.

Detection Engineering Is Drowning. We Built the Way Out.

01

Confidence in Coverage

Know which threats are covered, which are partially covered, and where telemetry gaps exist.

02

Continuous Validation

Ensure detections function as intended even as schemas, logs, and platforms evolve.

03

Reduced Operational Drag

Eliminate manual coordination between threat intel, red teams, and detection engineering.

04

Executive-Level Visibility

Translate detection engineering into measurable risk reduction for leadership.

Manual Workflows VS Rilevera

Category
Detection Validation
Telemetry Verification
MITRE Mapping
Red Team Feedback
Rule Deployment
Coverage Reporting
Manual Workflows
Periodic and manual
Reactive
Spreadsheet-based
One-off exercises
Ad hoc
Manual presentation
With Rilevera
Continuous and automated
Proactive and ongoing
Automated and dynamic
Integrated validation loop
Version-controlled workflow
Real-time metrics

Resources by Rilevera

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Documentation: The Necessary Evil
Scattered detection docs cost teams time and context. See how the ADS Framework and Rilevera centralize Detection-as-Code documentation.
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Setting up Detection-as-Code the Hard Way
Building a detection-as-code pipeline for Sumo Logic takes weeks of work and still leaves critical blind spots that the pipeline itself can't catch.
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Your detection pipeline is green. That doesn’t mean your detections work.
Detection-as-code proves a rule deployed, not that it works. Dead log sources, schema drift, and fixture-vs-live gaps cause silent failures pipelines never catch.