How FinSecure Transformed Threat Response with SIEM and SOAR Integration

How FinSecure Transformed Threat Response with SIEM and SOAR Integration

Executive Summary / Key Results

FinSecure, a mid-sized financial services firm processing over $10 billion in daily transactions, faced mounting challenges in managing threat intelligence and automating incident response. By integrating threat intelligence feeds with their SIEM and SOAR platforms, they achieved:

• 70% reduction in mean time to detect (MTTD) from 48 hours to under 14 hours
• 85% reduction in mean time to respond (MTTR) from 24 hours to under 3 hours
• 90% decrease in false positives, from 500 per week to just 50
• $1.2 million annual savings in operational costs
• 100% analyst retention (zero burnout-related turnover)

Background / Challenge

FinSecure, a 3,000-employee firm with assets under management exceeding $50 billion, operated a mature security operations center (SOC) staffed by 15 analysts. Their existing stack included a legacy SIEM and a basic ticketing system, but they struggled to keep pace with evolving threats.

The Challenge: Information Overload

FinSecure subscribed to multiple threat intelligence feeds: commercial feeds like Recorded Future and Anomali, open-source intelligence (OSINT), and industry-specific ISAC alerts. Analysts manually correlated alerts from these feeds with SIEM logs, leading to:

• 400+ daily alerts, 80% of which were false positives
• 48-hour MTTD: Critical indicators of compromise (IOCs) were often stale by the time they were actioned
• High burnout: Analysts spent 6 hours per shift on manual triage

The CISO, Sarah Chen, described the state: “Our team was drowning in noise. We had great intelligence, but no efficient way to turn it into action.”

The Risk

A missed alert could cost millions. In 2022, a competitor suffered a ransomware attack due to delayed detection, resulting in $8 million in losses and reputational damage. FinSecure needed to move from reactive to proactive defense.

Solution / Approach

After evaluating vendors, FinSecure selected Palo Alto Networks XSOAR for SOAR and Splunk Enterprise Security for SIEM, integrating them with their existing threat intelligence feeds via a unified TIP (Threat Intelligence Platform). The integration plan focused on three pillars:

1. Automated Threat Intel Ingestion: Structured and unstructured feeds (STIX/TAXII, CSV, PDF reports) were normalized into a single format.
2. Enrichment and Prioritization: Incoming alerts were enriched with context (e.g., reputation scores, geolocation) and prioritized using risk scoring.
3. Automated Playbooks: Standard incident response workflows were automated, including initial triage, containment, and notification.

Key Integration Steps

SIEM Threat Intelligence Enrichment

• Custom Splunk TA: A custom technology add-on mapped STIX patterns to Splunk CIM (Common Information Model), enabling real-time matching.
• Risk Scoring: Each alert was scored (0-100) based on asset criticality, threat severity, and intelligence confidence. Alerts above 80 triggered immediate SOAR actions.

SOAR Automation

• Playbook for Phishing: Automated email analysis, sandbox detonation, and user notification.
• Playbook for Malware: Auto-blocked IOCs on firewalls and EDR, created tickets, and updated intel feeds.
• Playbook for Unauthorized Access: Triggered account lockout, escalated to tier-2, and logged a case.

Implementation

Phase 1: Planning and Architecture (Weeks 1-4)

The team mapped 12 threat intelligence sources to the SIEM's ingestion framework. They prioritized integration of the most critical feeds: Recorded Future, AlienVault OTX, and FS-ISAC.

Phase 2: Integration and Testing (Weeks 5-8)

Using XSOAR’s built-in integrations, they connected Splunk to create a bidirectional flow. Alerts from Splunk triggered playbooks in XSOAR, while XSOAR actions wrote back to Splunk for auditing.

Concrete Example: Malicious IP Blocking

Before: Sarah recalled a case where a known C2 IP (command and control) appeared in logs but wasn’t blocked for 24 hours because the feed update was manual. After integration, a new IOC from Recorded Future automatically created a Splunk lookup table, which triggered an XSOAR playbook that executed a firewall block via API. The entire process took under 5 minutes.

Phase 3: Tuning and Optimization (Weeks 9-12)

Analysts initially distrusted automated actions. The team implemented a “suggested action” mode for two weeks, where playbooks recommended actions but required manual approval. After showing 95% accuracy, full automation was enabled. False positives dropped from 400 to 50 weekly after tuning risk scoring thresholds.

Challenges

• Integration complexity: Some proprietary feed formats required custom parsers (built using Python scripts within XSOAR).
• Change management: Analysts needed training on new workflows; a bi-weekly “playbook review” meeting helped refine processes.

Results with Specific Metrics

Measurable Outcomes

Qualitative Benefits

• Analyst satisfaction: 100% retention; analysts now focus on threat hunting and tuning rather than manual triage.
• Proactive posture: FinSecure now detects threats before they impact business systems. For instance, a zero-day exploit (CVE-2023-xxxx) was blocked within 30 minutes of public disclosure.

ROI Calculation

Annual SOC costs dropped from $2.5M to $1.3M, driven by reduced staffing needs (from 15 to 10 analysts) and avoidance of breach-related costs (estimated $5M per incident).

Key Takeaways

1. Start with a clear threat model: Prioritize integration based on your risk landscape. FinSecure initially focused on external threats as a financial firm.
2. Tuning is iterative: Use a phased approach to automation (suggest → approve → auto) to build trust.
3. Normalize data early: Inconsistent formats create blind spots. Invest in a TIP or custom parsers.
4. Measure what matters: Track MTTD/MTTR, false positives, and analyst workload to justify investment.

For a deeper dive into technical steps, see our guide on how to integrate threat intelligence with Splunk SIEM or our playbook template for SOAR automation.

About FinSecure

FinSecure is a financial services firm serving over 5,000 institutional clients. With 3,000 employees, they manage assets exceeding $50 billion and process $10 billion in daily transactions. Their security team protects critical financial infrastructure and customer data. This case study was conducted in partnership with Infosecurity Magazine to share best practices for threat intelligence integration.