I’m on a security team looking at 3B and I’d love to know where other teams tend to get value first. What are the most popular SOC automation use cases people build? I’m curious which workflows deliver quick wins versus the bigger, longer-term builds. Hearing what’s worked well for others would help me prioritize where to start.
The thing I’d push hardest on: start with your most boring, highest volume alert type, not your scariest one.
Small workflows are how you learn where your data actually lives, which API calls are slow, which fields are missing, and where your analysts disagree. Every one of those lessons is cheap to learn on a noisy low stakes alert and expensive to learn on a critical one.
Build the small pieces first and the bigger workflows end up being assembly rather than invention, because you’re reusing logic you already trust.
Fastest wins/great starting points:
- Phishing triage. User reports an email, you pull out the URLs, attachments and headers, check reputation, auto-close the obvious spam and open a case for the rest. Highest volume, clearest payback.
- Alert Enrichment. Don’t automate the decision yet. Just gather user info from your IdP, device posture from EDR, asset owner, related recent alerts, and drop it all on the ticket as a comment. Almost zero risk and analysts notice immediately.
- An IOC lookup command in Slack. Anyone drops a hash or domain, gets consolidated reputation back. Cheap, gets used constantly.
- Dedupe and noise suppression. Collapse repeat alerts on the same host or user, auto-close the known-benign stuff like your own scanners. Often the biggest raw volume cut available and needs no new integrations.
Medium effort, needs some buy in:
- Containment behind an approval. Isolate host, disable account, revoke sessions, but gated on a Slack approval from a senior analyst. The gate is what makes it politically survivable.
- Ask the user directly. “Did you just sign in from Brazil?” and branch on the answer. Clears a lot of impossible travel and MFA fatigue alerts with nobody touching them.
- Sandbox pipeline: detonate, parse the report, pivot on extracted IOCs, sweep for other hits.
- Vuln and patch chasing. Map scanner output to owners, open tickets, nag on a schedule.
Longer term goals:
- Full lifecycle on an entire detection class, with metrics out the back.
- Threat intel: ingest, dedupe, score, push to blocklists, retro hunt.
- Scheduled hunts and detection as code.
- Compliance evidence collection and access reviews.
- Joiner/mover/leaver and offboarding verification.
Sequencing within that: automate the enrichment, leave the call to a human. Then add decisions only where your analysts already agree on the answer without discussion. Write actions come last, behind approvals.
The trap is starting with full auto containment on critical alerts.
Hardest to get approved, hardest to test, and when it breaks it creates incidents instead of preventing them.
Also worth checking early: your real constraint is usually API access and service account provisioning, not workflow logic. Find out what you can actually reach in your EDR, SIEM, IdP and ticketing system before you commit to an order. Hope this helps! 