Ensure Detection Coverage & Quality

Rilevera continuously validates, improves, and manages detections across your SIEM, EDR, and data platforms so your team can focus on stopping real threats instead of chasing broken rules.

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>
40
%
Detections break over time

Schema drift, missing logs, and silent failures erode coverage.

3
 Months
spent on detection audits

Manual validation across platforms is slow and incomplete.

37
%
Average functional detection rate

Many organizations discover most rules are not working as expected.

0
Unified control layer

Detection engineering remains fragmented across tools.

>
40
%
Detections break over time

Schema drift, missing logs, and silent failures erode coverage.

3
 Months
Months spent on detection audits

Manual validation across platforms is slow and incomplete.

37
%
Average functional detection rate

Many organizations discover most rules are not working as expected.

0
Unified control layer

Detection engineering remains fragmented across tools.

Detection engineering is one of the most critical and least systematized functions in security. Engineers must correlate threat intelligence, validate telemetry availability, manage detection logicacross platforms, partner with red teams and threat hunters, map coverage to MITRE, and report results to executive leadership.

There is no unified control layer that continuously validates and improves detection quality.

Everything your detection engineering team needs

Radar chart evaluating five criteria: Threat Coverage & Relevance, Detection Reliability, Threat Severity & Risk, Maintenance Efficiency, and Actionability & Context, with a small green area near the center.
Continuous Detection Validation
Rilevera validates detection logic, telemetry dependencies, and schema integrity across platforms. If a rule breaks or data disappears, you know immediately.
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AI-Driven Detection Optimization
We analyze performance data, false positive trends, overlap, and logic quality to recommend improvements and push validated updates back into execution platforms.
User interface displaying tactics and techniques with a main tactic labeled 'TA0002 – Execution' and two sub-techniques: 'T1053 – Scheduled Task/Job' and 'T1106 – Native API'.
Coverage and Gap Analysis
We map detections and telemetry to MITRE techniques and threat actors to identify blind spots and prioritize new rule development.
Code snippet for SumoLogic detection of unauthorized IAM role assumption using AWS CloudTrail logs with highlighted terms: scope and readability.
Detection Lifecycle Governance
Structured workflows for design, validation, peer review, and controlled deployment ensure detection engineering operates with discipline and speed.

Who Rilevera is built for

1
Detection Engineers
2
SOC Managers
3
CISOs
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Detection Engineers

What they want to avoid
Broken detection rules
Manual validation
Rules failing silently
Constant rework after deployment
What they want instead
Version control for every detection
Automated validation and testing
Confidence that rules actually work
A clear history of changes and performance
How Rilevera helps
Rilevera acts as an AI Detection Engineer that continuously validates, improves, and operationalizes detection logic across platforms.
Key Outcomes
{Faster rule validation} {Fewer silent failures}
{Reduced false positives} {Measurable detection health}
Book a Demo

SOC Managers

What they want to avoid
Alert fatigue
Detection noise
Unpredictable investigation workload
Low trust in detection quality
What they want instead
High fidelity alerts
Predictable analyst workload
Detections that stay tuned over time
Confidence that alerts actually matter
How Rilevera helps
Rilevera continuously analyzes detection performance and automatically improves signal quality so analysts focus on real threats.
Key Outcomes
{Higher signal to noise ratio} {Reduced alert fatigue}
{More efficient investigations} {Better analyst productivity}
Book a Demo
Three colleagues collaborating in an office, with one seated at a computer and two standing nearby holding a tablet and a laptop.

CISOs

What they want to avoid
Detection blind spots
Audit risk
Unclear detection coverage
Security teams operating without visibility
What they want instead
Clear visibility into detection coverage
Audit risk
Confidence that detections actually work
Measurable security outcomes
Board level confidence
How Rilevera helps
Rilevera provides a unified view of detection health across the organization so leadership understands risk, coverage, and performance.
Key Outcomes
{Coverage visibility across platforms} {Reduced security risk}
{Audit readiness} {Executive level reporting}
Book a Demo
Smiling middle-aged man in a dark blazer holding and typing on a laptop in a modern office.
Detection Engineers
CISOs
SOC Leaders
Three coworkers conversing in a modern office at night, each holding a coffee mug.

Detection Engineers

Rilevera acts as an AI Detection Engineer that continuously validates, improves, and operationalizes detection logic across platforms.

What they want to avoid
Broken detection rules
Manual validation
Rules failing silently
Constant rework after deployment
What they want instead
Version control for every detection
Automated validation and testing
Confidence that rules actually work
A clear history of changes and performance
Key Outcomes
Faster rule validation
Fewer silent failures
Reduced false positives
Measurable detection health
Three coworkers conversing in a modern office at night, each holding a coffee mug.

CISOs

Rilevera continuously analyzes detection performance and automatically improves signal quality so analysts focus on real threats.

What they want to avoid
Alert fatigue
Detection noise
Unpredictable investigation workload
Low trust in detection quality
What they want instead
High fidelity alerts
Predictable analyst workload
Detections that stay tuned over time
Confidence that alerts actually matter
Key Outcomes
Higher signal to noise ratio
Reduced alert fatigue
Reduced false positives
Better analyst productivity
Three coworkers conversing in a modern office at night, each holding a coffee mug.

SOC Leaders

Rilevera provides a unified view of detection health across the organization so leadership understands risk, coverage, and performance.

What they want to avoid
Detection blind spots
Audit risk
Unclear detection coverage
Security teams operating without visibility
What they want instead
Clear visibility into detection coverage
Confidence that detections actually work
Measurable security outcomes
Board level confidence
Key Outcomes
Coverage visibility across platforms
Reduced security risk
Audit readiness
Executive level reporting

What people say

“Rilevera tackles one of the most overlooked problems in cybersecurity: detection engineering. While organizations spend heavily on security tools, far fewer invest in the continuous tuning, testing, and validation needed to ensure those tools actually detect real threats. Rilevera focuses on closing that gap - turning detection from a static configuration into a living engineering discipline that keeps pace with attackers.”

Eldon Sprickerhoff

Founder, Caledon Ventures & Founder, eSentire

“Rilevera is tackling the problems that high performing detection teams struggle with the most, building a platform to enable us to move faster and safer as we scale detections across the company.”

Director of Security

Fintech

"Detection coverage has long been the unspoken pain for most security teams. Rilevera brings this problem to light and helps me drive assurance in DFIR coverage abilities with leadership."

Austin D.

Senior Security Engineering Manager

"Rilevera brings structure and validation to detection engineering, helping us reduce noise and maintain high-confidence threat detection."

Craig A

CISO for Large Finance Services Company

Rilevera tackles one of the most overlooked problems in cybersecurity: detection engineering. While organizations spend heavily on security tools, far fewer invest in the continuous tuning, testing, and validation needed to ensure those tools actually detect real threats. Rilevera focuses on closing that gap - turning detection from a static configuration into a living engineering discipline that keeps pace with attackers.

Eldon Sprickerhoff

Founder, Caledon Ventures & Founder, eSentire

Rilevera is tackling the problems that high performing detection teams struggle with the most, building a platform to enable us to move faster and safer as we scale detections across the company.

Director of Security

Fintech

Detection coverage has long been the unspoken pain for most security teams. Rilevera brings this problem to light and helps me drive assurance in DFIR coverage abilities with leadership.

Austin D.

Senior Security Engineering Manager

Rilevera brings structure and validation to detection engineering, helping us reduce noise and maintain high-confidence threat detection.

Craig A

CISO for Large Finance Services Company

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.

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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

Pink padlock embedded in a flowing digital wave pattern with blue and pink neon stripes representing data security.
Vanity vs Real Metrics in Detection & Response
There are a number of metrics currently being used in detection and response. Many of them...
Glowing network of interconnected lines with circular nodes and arrows on a dark blue digital background.
Why We’re Managing Detections Like It’s 2005 Production Code
There’s an old lesson in engineering that shows up everywhere…from aviation, to distributed...
Digital neon outline of a human figure with highlighted points on a futuristic interface background.
The Unified Lifecycle of Threat Intelligence, Detection Engineering, Threat Hunting, and SOC Operations
Modern security programs do not fail because teams lack skill or tooling. They fail because...
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Your AI Detection Engineer for Continuous Security Validation

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