Detection engineering
Detection Engineering Services
Detection engineering focused on real attacker behavior - building reliable, low-noise detections for Wazuh and Splunk that analysts can trust.
- Build detections tied to real attacker behavior
- Reduce noise and false positives
- Detections that analysts can trust and act on
What you get on day one
Concise scope, test plan, and outcomes your team can execute.
Wazuh & Splunk
Platforms
Aligned to your environment.
Actionable alerts
Primary outcome
Not raw events.
Tuned
Noise reduction
Validated through testing.
1–4 weeks
Timeline
Depends on scope.
Why detection engineering
Good detections are built, not installed
Effective detection requires understanding behavior, data, and operations.
Alerts fail when they aren’t grounded in behavior
Generic rules trigger constantly and still miss real attacks. Detections need to reflect how attackers actually operate.
Noise erodes trust
When analysts are flooded with alerts, real incidents get ignored or delayed.
Detections must match the environment
Rules need to reflect your logging sources, operating systems, and tooling - not a vendor demo dataset.
What we build
Detections that fit your environment
Focused on behavior, signal quality, and analyst usability.
Behavior-based detections
Detections mapped to attacker techniques, not isolated log patterns.
Log-source aware logic
Rules designed specifically for the data your Wazuh and Splunk instances actually ingest.
Noise controls
Thresholds, suppressions, and context checks to reduce false positives.
Cross-signal correlation
Combine multiple weak signals into a single high-confidence alert.
Detection validation
Test detections against known attack scenarios and benign activity.
Documentation and handoff
Clear explanation of what each detection means and how analysts should respond.
How we work
From idea to usable detection
A practical process that balances security and operations.
Threat and detection goals
Align on what threats matter most to your environment and business.
Log and telemetry review
Confirm what data is available, reliable, and usable for detection.
Detection design
Write detection logic tailored to Wazuh and/or Splunk data models.
Tuning and validation
Reduce noise and validate behavior against real scenarios.
Analyst handoff
Deliver detections with context, severity guidance, and response notes.
Designed for analysts
We design detections with investigation time in mind, not just theoretical coverage.
Deliverables
Production-ready detections and documentation
Clear output your SOC can operate and maintain.
Detection rules and queries
Production-ready detections implemented in Wazuh rules and Splunk searches.
Tuning and suppression guidance
Clear notes on thresholds, exclusions, and expected behavior.
Detection documentation
What the alert means, why it fires, and how to investigate.
Validation notes
Evidence showing detections were tested against attack and benign activity.
Ready when you are
Build detections your team can trust
We’ll help you create reliable, low-noise detections aligned to real attacker behavior.
Engagement options
Build or improve detections
Start fresh or fix what isn’t working.
Detection Build-Out
Create a core set of high-confidence detections for your SOC.
- Threat-aligned detection set
- Noise reduction and tuning
- Analyst-ready documentation
Detection Improvement
Fix noisy or ineffective detections in an existing environment.
- Rule review and cleanup
- False-positive reduction
- Validation and re-testing
FAQ
Before we start
Do you only work with Wazuh and Splunk?
These are our primary platforms, but the detection logic is transferable to other SIEMs if needed.
Do you provide SOC operations?
No. This service focuses on detection engineering, not day-to-day SOC operations.
How do you validate detections?
We test detections against known attack behavior and expected benign activity where possible.
Will this reduce alert volume?
Yes. A key goal is fewer, higher-confidence alerts that analysts can trust.