Powered by WazuhBuilt by Rwased

Detection-as-a-Service
for Wazuh

Continuous detection engineering, rule tuning, and threat coverage for organizations that want Wazuh to detect real attacks — not just collect logs.

wazuh-detection-engine
loading custom_rules/rwased.xml ...
[ok] 247 rules loaded · MITRE ATT&CK mapped
tuning noise_profile: production
[ok] false positive rate: 0.4%
watching 14 agents · 38 log sources
[alert] T1059.001 PowerShell · suspicious encoded cmd
[crit] T1078 Valid Accounts · off-hours admin login
— actionable signal · noise filtered —

Detection doesn't come out of the box

Wazuh is powerful, but open-source security tools require continuous engineering. Without tuning, rule development, and validation, the platform can become a passive log collector instead of an active detection system.

Before vs After Rwased DaaS

From a passive default deployment to an active, tuned detection system

BEFORE

Before Rwased DaaS

  • Default rules only
  • High alert noise
  • Missed attack behaviors
  • No rule maintenance
  • No detection coverage reporting
AFTER

After Rwased DaaS

  • Custom detection rules
  • Tuned, actionable alerts
  • Behavior-based detection
  • Continuous rule updates
  • Monthly coverage reports

A Continuous Engineering Cycle

Four stages that repeat continuously to raise detection coverage and alert quality

1
Assess
Assess

Review current rules, alerts, log sources, and detection gaps.

2
Engineer
Engineer

Develop custom detection logic based on real attack behaviors.

3
Tune
Tune

Reduce false positives and improve alert quality.

4
Report
Report

Provide monthly visibility into changes, coverage, and gaps.

What's Included

Outcome-focused capabilities — real behavioral detection, not just rule files

🧬
01

Custom Rule Development

Rules tailored to client environment, assets, and threat exposure.

🎯
02

Threat Behavior Coverage

Detection aligned with real attacker techniques such as persistence, privilege escalation, lateral movement, and ransomware behavior.

📉
03

Alert Noise Reduction

Tuning to reduce false positives and make alerts more actionable.

🔄
04

Continuous Rule Updates

Monthly updates based on emerging threats and changing environments.

🧪
05

Detection Validation

Controlled testing to confirm whether important behaviors are detected.

📊
06

Coverage Reporting

Clear reports showing what is covered, what changed, and what still needs improvement.

What This Is / Is Not

Clear boundaries to prevent any confusion

This IS

  • Detection engineering for Wazuh
  • Rule development and tuning
  • Continuous improvement
  • Detection coverage reporting

This is NOT

  • A replacement for Wazuh
  • A guarantee to detect every attack
  • Full MDR unless separately agreed
  • A one-time installation service

Example Detection Use Cases

Real-world scenarios that custom detection rules cover

🦠
Ransomware behavior detection
⚙️
Suspicious PowerShell execution
🔑
Brute-force and credential attacks
⬆️
Privilege escalation attempts
📁
Unauthorized file changes
🌐
Suspicious network activity
🔌
Powered by Wazuh

Rwased builds on top of the open-source Wazuh platform to deliver advanced detection capabilities — we develop the intelligence layer above a proven foundation.

Ready to improve
your Wazuh detections?

Start with a detection assessment. We review your current coverage, identify gaps, and show where tuning or custom rules can improve your security visibility.

Request Detection Assessment →