Alright, so our team finally got CrowdStrike Intel integrated a few months back. The raw data is solid, but the out-of-the-box dashboards felt... generic. I needed something that tracked *our* specific paranoia levels.
I spent a weekend throwing together a simple internal dashboard to visualize the metrics we actually care about. It's not fancy, but it's reproducible and tells a clear story. Built it with a FastAPI backend, pulled the data via the API, and used Plotly for the frontend.
The core metrics we're tracking daily:
* **High-Confidence IOCs per Day:** The "oh, this is definitely bad" count.
* **Threat Actor Activity in Our Sectors:** Filtered for finance & cloud infra. The "who's knocking on our door" index.
* **Mean Time to Context (MTC):** How long from an alert to getting the CrowdStrike intel report. This one's been eye-opening.
* **Top CVEs by Exploitation Activity:** Not just severity, but what's actually being used in the wild against companies like ours.
Here's the basic query pattern for the IOCs (using the `requests` library, obviously). The key was filtering by confidence and our own internal asset tags.
```python
# Simplified snippet for the daily high-confidence IOC pull
response = requests.post(
f"{API_BASE}/indicators/queries/iocs/v1",
headers={"Authorization": f"Bearer {API_KEY}"},
json={
"filter": f"confidence:>80",
"filter": f"tags:'internal_asset_cloudfront'",
"time_range": "last_24_hours"
}
)
```
The dashboard immediately showed a 40% spike in targeted cloud infra recon last Tuesday, which correlated perfectly with an uptick in our own WAF logs. The generic dashboard just showed "increased activity." Ours told us *where* and *what kind*.
It's still a prototype, but having these four metrics in one glance is already more actionable than sifting through reports. Anyone else building their own tracking on top of the Intel API? Curious what metrics you've found actually matter.
benchmarks or bust