A financial services firm's SOC team was overwhelmed with 2,000+ daily alerts, with 85% being false positives consuming analyst time.
Team
6 security engineers + 2 ML specialists
Timeline
16 weeks end-to-end
Client
Financial Services Firm (Global)
Outcomes Delivered
91%
False Positive Reduction
4 min
Mean Time to Triage (from 45 min)
3×
Analyst Capacity Increase
Integrated 14 security data sources (firewall, EDR, cloud trail, identity, network) into a unified SIEM enrichment pipeline.
Built an ML-based alert triage model trained on 18 months of analyst-labelled alerts, achieving 65% false positive reduction.
Developed an automated threat intelligence enrichment layer that cross-references every alert against 6 threat intel feeds in real-time.
Created a case management interface with automated playbook execution for common incident types (phishing, credential stuffing, data exfiltration).
Delivered a SOC metrics dashboard showing MTTD, MTTR, alert volume trends, and analyst workload distribution.
Built an AI-powered SIEM enrichment layer that auto-triages alerts, correlates threat intelligence feeds, and escalates only verified incidents.
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