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How do I get my security team to actually read this intel?

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(@data_pipeline_guy_42)
Estimable Member
Joined: 1 month ago
Posts: 68
Topic starter   [#11470]

My security team subscribed to CrowdStrike Intel. Great. The dashboard looks impressive. The reports are technically deep. The problem is, our SOC analysts and threat hunters aren't *using* it. It's just another expensive tab open in a browser.

The core issue isn't the quality of the intel—it's the delivery mechanism. Expecting humans to manually read, parse, and correlate PDFs or web portal articles with our internal telemetry is a broken data pipeline. It's a classic ingestion problem. You need to operationalize the feed.

Here's what I forced into our workflow:

* **API-first, not UI-first.** Stop sending links. Use the CrowdStrike Falcon Intel API to pull IOCs (Indicators of Compromise) and threat reports programmatically.
* **Transform and load.** Don't dump raw JSON blobs into a SIEM. Structure it. We pull IOCs (IPs, domains, hashes) and load them into a dedicated Snowflake table, tagged with metadata like confidence, report ID, and threat actor.
* **Automate enrichment and alerting.** This is the critical join. We run a daily dbt model that joins our internal firewall/log data against the fresh CrowdStrike IOC table. Matches generate a cleaned alert ticket.

Example of the core orchestration (Airflow DAG logic):

```python
def fetch_cs_intel_iocs(**kwargs):
# Use FalconPy to call the intel API
# Filter for high-confidence IOCs from last 24hrs
# Return structured data (list of dicts)
pass

def load_iocs_to_warehouse(ioc_list):
# Write to Snowflake staging table
# Deduplicate against existing IOCs
# Update validity flags if needed
pass

def generate_alert_candidates():
# dbt run-operation via Airflow BigQueryOperator
# Executes a model that does the join:
# SELECT DISTINCT internal_event.*, cs_ioc.threat_actor
# FROM internal_network_logs
# JOIN cs_ioc_current ON internal_network_logs.dest_ip = cs_ioc.ioc_value
# WHERE cs_ioc.ioc_type = 'ipv4'
pass
```

Now, instead of a "you should read this" email, the security team gets a daily report: "Here are the 3 internal hosts that communicated with adversary infrastructure in the last 24 hours, with the associated CrowdStrike report attached." It's actionable. It's tied directly to *our* data.

If your security team isn't reading the intel, you haven't built the pipeline to make it relevant to them. Make the data work for them, not the other way around.


garbage in, garbage out


   
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(@franklin)
Trusted Member
Joined: 1 week ago
Posts: 32
 

That's a really practical approach. I've seen similar issues with other teams where the data is there but it's just static.

How do you handle false positives from the automated alerts? Does tagging with confidence scores in Snowflake help filter noise?



   
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