In early 2025, a mid-sized U.S. financial services firm faced a surge in file-based malware campaigns. The SOC’s Splunk-based SIEM was overwhelmed by raw Indicators of Future Attack (IOFA™), resulting in excessive false positives and response times averaging 48 hours.
By integrating Silent Push’s on-demand enrichment API, the team reduced false positives by 70% and cut triage time to under 2 hours. Over the course of six months, the setup neutralized more than 1,200 high-risk file indicators.
Overloaded Alerts in a High-Volume Environment
Without contextual scoring, simple hash matches triggered excessive noise. The SOC needed a lightweight way to layer reputation data into existing Splunk workflows.
Layered Deployment and Integration
Step 1: IOFA Ingestion Setup
Feeds forwarded via syslog and normalized as JSON
Indexed as
iofa_logssourcetype
Step 2: Silent Push Enrichment
Custom Splunk command | enrich_silentpush sha256=$sha256$ called /v2/enrich, appending sp_risk_score and behavioral flags.
Step 3: Alerting and Correlation
Tiered alerts based on enriched score (≥7 → immediate notification).
Outcomes
Alert volume ↓ 70%
Mean time to triage ↓ from 48 to 1.8 hours
Blocked 1,200+ IOFAs linked to Lumma Stealer variants
Estimated $500K in breach-related costs avoided