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Technology & SaaSCloud Infrastructure & DevOps2026
CybersecuritySOCAI Automation

SOC Automation & Threat Intelligence Platform

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)

Analyst Capacity Increase

Our Approach

How we delivered it

1

Integrated 14 security data sources (firewall, EDR, cloud trail, identity, network) into a unified SIEM enrichment pipeline.

2

Built an ML-based alert triage model trained on 18 months of analyst-labelled alerts, achieving 65% false positive reduction.

3

Developed an automated threat intelligence enrichment layer that cross-references every alert against 6 threat intel feeds in real-time.

4

Created a case management interface with automated playbook execution for common incident types (phishing, credential stuffing, data exfiltration).

5

Delivered a SOC metrics dashboard showing MTTD, MTTR, alert volume trends, and analyst workload distribution.

Solution Summary

What we built

Built an AI-powered SIEM enrichment layer that auto-triages alerts, correlates threat intelligence feeds, and escalates only verified incidents.

Technology Stack
PythonSplunk SIEMElasticsearchReactFastAPIAWSCrowdStrikeDocker
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