<!-- Copyright (c) 2026 defconxt. All rights reserved. -->
<!-- Licensed under AGPL-3.0 — see LICENSE file for details. -->
---
name: implementing-detection-metrics-tracking
description: >-
  Track and analyze detection engineering metrics including coverage
  scores, rule quality, alert volumes, false positive rates, detection
  efficacy, and engineering team productivity.
domain: cybersecurity
subdomain: detection-engineering
tags:
  - detection-metrics
  - coverage-tracking
  - rule-quality
  - alert-volume
  - efficacy-measurement
  - team-productivity
version: "1.0"
author: defconxt
license: AGPL-3.0
metadata:
  mitre-attack: []
---

# Implementing Detection Metrics Tracking

## Overview

Detection metrics tracking provides visibility into detection program
health and effectiveness. Covers coverage scoring, rule quality measurement,
alert volume analysis, and team productivity metrics.

## Prerequisites

| Requirement | Purpose |
|---|---|
| SIEM data | Alert history and rule performance |
| Detection inventory | Complete catalog of active rules |
| Dashboard platform | Grafana or similar for visualization |

## Key Concepts

### Detection Metrics Dashboard

```python
detection_metrics = {
    "coverage": {"techniques_covered": 127, "total": 201, "pct": 63.2},
    "quality": {"avg_fp_rate": 0.18, "rules_with_tests": 85, "rules_total": 120},
    "operational": {"alerts_per_day": 450, "tp_per_day": 23, "signal_noise": 0.051},
}
```

## Workflow

1. **Define metrics** — Select KPIs for detection health
2. **Instrument collection** — Automate data from SIEM and repos
3. **Build dashboards** — Coverage, quality, operational views
4. **Establish baselines** — 90-day baseline for trend detection
5. **Set targets** — Define improvement goals per metric
6. **Review regularly** — Weekly operational, monthly strategic
7. **Report to leadership** — Quarterly program health report

## Verification

| Check | Method |
|---|---|
| Workflow completed | All steps executed and documented |
| Output validated | Results match expected format and content |
| Quality assured | Peer review or automated validation passed |

## References

- [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework)
- [MITRE ATT&CK](https://attack.mitre.org/)
