Security Ops / SOC / Incident Response
Illustrative scenario

Fifty EDR Alerts a Day at 20 Minutes Each Is Not a Sustainable SOC Model

At 50 CrowdStrike Falcon alerts per day, a SOC running on manual enrichment is spending roughly 1,000 analyst-minutes daily before a single escalation decision gets made. For an IR Lead at a Series D–E SaaS company, that's not just an efficiency problem — it's a mean-time-to-respond problem that auditors, incident commanders, and the CISO all notice.

Up and running in ~4 wkFor: Incident Response Lead
Estimate your payback
~3 mo
Payback period
$360K
Est. savings / year
+$264K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

The Real Cost of Manual Alert Enrichment

Twenty minutes per alert means a single analyst handles roughly three alerts per hour before cognitive fatigue and context-switching degrade the quality of their judgment. At 50 alerts per day, either multiple analysts are doing the same repetitive lookup work in parallel, or alerts are queuing and aging. Neither outcome is acceptable when you're trying to maintain SOC 2 Type II posture and an actual threat could be sitting in that queue. The enrichment work itself — pulling Splunk threat intelligence, checking Okta user context, cross-referencing prior incident patterns — is systematic. It doesn't require judgment; it requires time.

Enrichment at Machine Speed, Escalation at Human Judgment

An AI Labor Company agent mines CrowdStrike Falcon alerts, Splunk threat intelligence, and Okta user context to build an enrichment model grounded in your environment's known-good baselines and prior incident patterns. The deployed Gemini agent auto-enriches each incoming EDR alert with threat context, user risk profile, and a recommended IR playbook, then pre-populates the ServiceNow incident record with that enrichment before an analyst sees it. Every escalation remains gated on analyst approval — the agent eliminates the lookup work, not the human decision. PagerDuty and Slack integrations surface the enriched alert to the right person in the right channel without an additional manual handoff.

The Business Case: 80% Faster Enrichment, Better Coverage with the Same Team

An 80% reduction in per-alert enrichment time — typically achieved within about 4 weeks of deployment — translates directly into capacity. Analysts who were spending most of their day on enrichment lookups can now spend that time on the decisions that actually require their expertise: escalation judgment, threat hunting, and incident containment. For a team operating under $18,000–$40,000 per month in SOC staffing costs, the recovered capacity either improves coverage or defers a headcount addition. For an IR Lead whose performance is measured on mean-time-to-respond metrics, the improvement is both operational and reportable.

Works with
CrowdStrike FalconSplunkOktaServiceNowSlackPagerDuty
Questions

Will the agent close or dismiss any alerts automatically?

No. The agent enriches and routes alerts, and pre-populates ServiceNow incidents with recommended playbooks. Every escalation and every alert disposition requires analyst sign-off. The agent reduces the work required to make those decisions — it does not make them.

How does it handle new threat actor TTPs or signatures that weren't in the training data?

The enrichment model pulls live from Splunk threat intelligence on each alert, so it incorporates new IOCs and threat context as they appear in your SIEM. The playbook recommendations for genuinely novel TTPs will be more conservative — flagging them for analyst review rather than recommending a specific IR action.

What does the deployment process look like for a SOC that's mid-incident response?

Deployment is configured in parallel with live operations — the agent begins in observation mode, enriching alerts and logging recommendations without routing them, until the IR Lead has validated the enrichment quality. Typically that validation phase takes 1–2 weeks before the agent goes live in the active queue.

Related use cases

Illustrative scenario for it, software, devops & cloud. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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