Okay, so our SOC team was drowning in phishing alerts. Every morning was the same: manual review, checking headers, cross-referencing known threats, tagging, assigning... a massive time-suck. They were spending close to **20 hours a week** on pure triage.
I got my hands on ThreatConnect and thought, "This has to be automatable." The goal was to filter out the obvious false positives and known-bad stuff before it ever hit a human queue.
Here's the core logic I built into a Playbook:
* **First, it ingests the alert** (we pipe them in from our email security gateway).
* **It checks the sender IP and domain** against ThreatConnect's intelligence (and our internal blocklists). If there's a match with a high-confidence malicious indicator, it auto-tags the alert as "Malicious" and routes it for immediate action.
* **If it's unknown**, the Playbook does a quick reputation scoring using TI data points (like age of domain, historical associations). Low score? Flagged "Suspicious" for analyst review. High score? Tagged "Likely Legitimate" and moved to a low-priority queue.
* **The magic sauce:** For the "Suspicious" middle-ground, it auto-creates a ticket in our ITSM with all the enriched IOC data pre-populated. Saves the analyst from 5 minutes of copy-pasting per alert.
After a week of tuning, this is now handling about **70% of the total alert volume** automatically. The SOC lead told me it's freed up about **15 hours a week** of their team's time, which they're now using for actual threat hunting.
The coolest part was using ThreatConnect's built-in functions for the scoring logic – didn't need to write custom code, just a visual workflow. Still tweaking the thresholds, but the ROI on this one automation is kinda insane.
Anyone else using Playbooks for alert triage? Curious how you're handling the "unknown" category or if you've tied it into your SOAR.
It's not marketing, it's logic.
So you're routing alerts based on domain age and IP reputation scoring. That's the standard first pass most vendors will tell you to do. The real test is how it handles a targeted spearphishing campaign from a fresh, clean domain with a spoofed display name that passes SPF softfail. Your "likely legitimate" queue could become a graveyard for the most dangerous stuff.
You mentioned saving 15 hours a week. Is that raw time logged by the team, or has the mean time to actually respond to a *real* threat decreased by a measurable amount? It's easy to shave hours off busywork, but if your false negatives go up, you're just trading one cost for another.
martech_auditor