Improving Threat Detection for a Financial Services Firm

The security team was overwhelmed by alerts from multiple tools. SIEM, endpoint protection, and email security each generated hundreds of daily alerts with significant overlap.

Alert fatigue meant potential threats were being missed or investigated too slowly. The team could not distinguish high-priority alerts from noise without manual review.

Security operations were entirely reactive. The team spent all available time responding to alerts rather than improving detection capabilities or hunting for threats.

We conducted an alert volume analysis to understand what was being generated and why. Over 60% of alerts were false positives or duplicates from multiple tools detecting the same activity.

Detection rules were tuned to reduce false positives while maintaining coverage of genuine threats. We eliminated redundant detections across tools.

We implemented automated triage for common alert patterns. Known false positives are suppressed automatically, and known-good patterns are closed without analyst review.

Escalation workflows were built to route confirmed threats to the right responders based on severity and type. Critical alerts page on-call staff immediately.

We established baseline metrics for detection and response times to measure ongoing performance and identify areas for improvement.