<!-- Copyright (c) 2026 defconxt. All rights reserved. -->
<!-- Licensed under AGPL-3.0 — see LICENSE file for details. -->
---
name: building-security-dashboard-automation
description: >-
  Build automated security dashboards with real-time KPI tracking, alert
  volume metrics, MTTD/MTTR calculations, SLA compliance visualization,
  and Grafana/Kibana integration for SOC operational visibility.
domain: cybersecurity
subdomain: security-operations-automation
tags:
  - dashboards
  - metrics
  - kpi
  - grafana
  - kibana
  - mttd
  - mttr
  - soc
version: "1.0"
author: defconxt
license: AGPL-3.0
metadata:
  mitre-attack: []
---

# Building Security Dashboard Automation

## Overview

Security dashboard automation collects operational metrics from SIEM, EDR,
vulnerability scanners, and ticketing systems, then pushes them to visualization
platforms. Key metrics include MTTD, MTTR, alert volume, false positive rate,
SLA compliance, and threat coverage mapped to MITRE ATT&CK.

Mode: `[MODE: BLUE]` — Operational visibility automation.

## Prerequisites

| Requirement | Details |
|---|---|
| Python 3.10+ with `requests` | Required |
| Grafana 10+ or Kibana 8+ with API access | Required |
| Prometheus or Elasticsearch for metric storage | Required |
| SIEM and ticketing system APIs for data collection | Required |

## Key Concepts

### SOC Metrics Collection

```python
def collect_soc_metrics() -> dict:
    """Collect core SOC operational metrics."""
    return {
        "mttd_minutes": 12.5,
        "mttr_minutes": 45.2,
        "alerts_24h": 342,
        "incidents_open": 8,
        "false_positive_rate": 0.23,
        "sla_compliance": 0.94,
        "analyst_utilization": 0.78,
    }
```

### Grafana Dashboard Push

```python
import requests

def push_to_grafana(metrics: dict, datasource: str = "prometheus") -> dict:
    """Push metrics to Grafana via Prometheus pushgateway."""
    lines = []
    for key, value in metrics.items():
        lines.append(f"soc_{key} {value}")
    payload = "\n".join(lines)
    resp = requests.post(
        "http://pushgateway:9091/metrics/job/soc_dashboard",
        data=payload,
        headers={"Content-Type": "text/plain"},
    )
    return {"status": resp.status_code, "metrics_pushed": len(lines)}
```

## Workflow

### Step 1: Collect Metrics

```bash
node scripts/agent.js --action collect-metrics
```

### Step 2: Push to Dashboard

```bash
node scripts/agent.js --action push --target grafana
```

### Step 3: Generate Snapshot

```bash
node scripts/agent.js --action snapshot --dashboard soc-overview
```

## Verification

- [ ] Metrics collection covers MTTD, MTTR, alert volume, FP rate
- [ ] Dashboard updates reflect current operational state
- [ ] SLA tracking identifies at-risk and breached items
- [ ] Historical trends available for week/month/quarter

## References

- [Grafana HTTP API](https://grafana.com/docs/grafana/latest/developers/http_api/)
- [Prometheus Pushgateway](https://github.com/prometheus/pushgateway)
- [Kibana Dashboard API](https://www.elastic.co/guide/en/kibana/current/dashboard-api.html)
