CASE STUDY

Scaling Fintech: SIEM/SOAR for Real-Time Threat Detection

A scaling fintech deployed SIEM + SOAR with custom playbooks for the financial-services threat landscape. Mean time to detect malicious activity: 4 hours → 9 minutes.

May 9, 2026 · 2 min read · By admin

At a glance

Industry: BFSI
Topics: Cybersecurity · SecOps / GRC · Threat Detection
Published: May 2026
Headline outcome: 9 min MTTD malicious activity: 4h →…

Measured outcomes

What this programme actually delivered.

9 min

MTTD malicious activity: 4h → 9 min

89%

Threat-actor dwell time: down 89%

+67%

SOC analyst capacity: +67% on real threats (vs noise)

The challenge

A scaling fintech’s security team relied on logs reviewed during business hours. Real-time detection was aspirational; threat-actor dwell time was extending in incident postmortems.

What we built

SIEM (Splunk) + SOAR (ServiceNow SecOps) with custom playbooks specifically tuned for financial-services threats — credential stuffing, account takeover, transaction-pattern anomalies, insider threats.

Outcomes

MTTD malicious activity: 4h → 9 min
Threat-actor dwell time: down 89%
SOC analyst capacity: +67% on real threats (vs noise)
Continuous-monitoring evidence available for regulator review

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Scaling Fintech: SIEM/SOAR for Real-Time Threat Detection

What this programme actually delivered.

The challenge

What we built

Outcomes

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