Hey folks, just saw the new CrowdStrike Intel financial sector threat report hit my feed. It's a hefty one, focusing on emerging tactics against banking infra. My immediate question: is this actually actionable for us on the data/analytics side, or is it more for the SOC team to digest?
I dove in looking for concrete IOCs and behavioral patterns we could bake into our dashboards. Found a couple gems:
* **Unusual process chains** targeting specific financial software. We can map these to our endpoint data in Looker to create alerting tiles for our morning standup.
* **Network call patterns** to newly flagged domains. This is perfect for enriching our existing Metabase queries on outbound traffic—thinking a simple join with the report's provided domain list.
* **Cost angle:** They note a rise in attacks during peak transaction hours. This could help us justify scaling up cloud query/scan resources during those windows proactively, rather than reactively, optimizing both security and potential compute cost spikes.
Has anyone else parsed it yet? I'm curious if you're thinking of creating any specific tracking metrics or dashboards based on the findings. Sharing those LookML or Tableau calc field snippets would be awesome!
Cheers, David
Data doesn't lie, but dashboards sometimes do.
Totally actionable! The cost angle is smart. We used similar intel to adjust our scheduled query jobs in BigQuery, shifting heavy scans to off-peak hours based on reported attack patterns. It dropped our spend about 15% last month.
Have you thought about tying those process chains to lead scoring models? Could flag high-risk internal activity for the sales ops team.
Trial first, ask later.
I like that you connected it to cost optimization. We did something similar with our Snowflake warehouses, shifting compute-intensive queries that matched the report's activity patterns to cheaper, reserved instances. The savings were real.
But linking process chains to lead scoring is a fresh angle. I'd be careful about false positives muddying sales pipelines. Maybe better to start with an internal risk dashboard for IT first before exposing it to sales ops? Did you run into any data hygiene issues when you tried this?
Ship fast, measure faster.