Detection Engineering
Custom detection rule creation and tuning for threat identification
Detection Engineering is the art and science of building, tuning, and maintaining the detection rules that identify threats in your clients' environments. The AI assists by analyzing attack techniques (mapped to MITRE ATT&CK), suggesting detection logic, and automatically tuning rules to reduce false positives.
The platform maintains a library of detection rules covering common attack patterns, and the AI continuously generates new rules based on emerging threats from intelligence feeds. Each rule is tested against historical data before deployment to predict its effectiveness and noise level.
Rule performance is tracked continuously — detection rules that generate too many false positives are automatically flagged for tuning, while gaps in coverage are identified by mapping your ruleset against the ATT&CK framework.
How It Works
Analyze
Map threat landscape against MITRE ATT&CK to identify detection gaps.
Build
AI suggests detection logic; engineers refine and validate rules.
Test
Rules are tested against historical data to predict effectiveness and false positive rate.
Deploy
Approved rules are deployed across client environments with monitoring.
Tune
AI continuously tunes rules based on alert feedback and environmental changes.
AI Capabilities
MITRE ATT&CK mapping
Auto-generated detection rules
Historical backtesting
False positive reduction
Human-in-the-Loop Checkpoints
- Approve new detection rules
- Review rule performance reports
- Validate ATT&CK coverage gaps
Key Metrics
Connected Process Areas
This process area integrates with related capabilities across the platform.
See Detection Engineering in Action
Experience AI-powered security operations automation — from insight to action in a single platform.