Healthcare SIEM Transformation

Executive Summary

The Challenge

This regional healthcare system faced a perfect storm of security challenges common in healthcare:

Alert Fatigue Crisis

• 15,000+ alerts per day across their environment
• SOC team of 8 analysts completely overwhelmed
• Average 45 minutes to investigate a single alert
• Many alerts simply went uninvestigated
• Morale was low, turnover was high

Compliance Pressure

• HIPAA requirements for audit trails and incident response
• Regular audits requiring detailed documentation
• PHI data handling restrictions limited tool choices
• Data residency requirements kept data on-premise

Legacy Infrastructure

• Existing SIEM was 8 years old
• Total cost of ownership exceeded $1.8M annually including licensing, infrastructure, and 3 dedicated maintenance staff
• Detection rules were years out of date

Why Vigilense AI

After evaluating multiple vendors, the healthcare system chose Vigilense AI for several key reasons:

Implementation

Phase 1: Connection (Week 1)

• Connected to existing OpenSearch cluster containing security logs
• Integrated with CrowdStrike EDR
• Connected to Azure AD for identity context
• Configured Azure OpenAI in their tenant for AI processing

Phase 2: Learning (Weeks 2-3)

• AI models learned normal behavior patterns
• Custom playbooks created for healthcare-specific scenarios
• Integration with Epic EHR for context on clinical systems
• HIPAA-compliant response actions configured

Phase 3: Autonomous Mode (Week 4+)

• Gradual enablement of autonomous investigation
• Automated response for low-risk scenarios
• Human-in-the-loop for high-impact decisions
• Continuous tuning and optimization

Results

Operational Impact

Metric	Before	After	Change
Daily Alerts Requiring Human Review	15,000	150	-99%
Mean Time to Investigate	45 min	4 min	-91%
Mean Time to Respond	4 hours	12 min	-95%
False Positive Rate	85%	8%	-91%
Analyst Capacity for Proactive Work	5%	70%	+1300%

Financial Impact

• Legacy SIEM Retirement: $1.8M annual cost eliminated (license, infrastructure, and 3 FTE maintenance)
• Operational Efficiency: $300K from analyst productivity gains (equivalent capacity of 2-3 FTEs redirected to proactive security)
• Total Annual Cost Reduction: $2.1M (gross, before Vigilense platform cost)
• Vigilense Platform Investment: ~$1.05M annually
• Net Annual Savings: ~$1.05M
• Additional Benefit: Estimated $500K in prevented breach costs from faster detection and response

Compliance Benefits

• Automated audit trails for all security events
• HIPAA-compliant investigation documentation
• Reduced audit preparation time by 75%
• Zero compliance findings related to incident response

Key Use Cases

PHI Access Monitoring

Challenge: Detecting unauthorized access to patient records across 200+ clinics.

Solution: AI correlates EHR access logs with work schedules, patient assignments, and behavioral baselines. Anomalous access patterns are automatically investigated and escalated.

Result: 15 insider threat cases identified in first 90 days that would have gone undetected.

Medical Device Security

Challenge: Thousands of IoMT devices with limited security controls.

Solution: Behavioral analysis of medical device network traffic. Automatic isolation of compromised devices without disrupting patient care.

Result: Contained a medical imaging system compromise within 3 minutes, preventing lateral movement.

Ransomware Prevention

Challenge: Healthcare is the #1 target for ransomware.

Solution: AI detects early indicators of ransomware (reconnaissance, credential access, lateral movement) and automatically contains threats before encryption begins.

Result: Blocked 3 ransomware attempts in first 6 months with zero patient care impact.

Testimonial

"We went from drowning in alerts to actually being proactive about security. Our analysts used to spend all day triaging false positives. Now they're doing threat hunting and security architecture work. The transformation has been remarkable and we did it while strengthening our HIPAA compliance posture."

Chief Information Security Officer

Lessons Learned

• Start with BYODb: Data residency concerns were solved immediately
• Phase the rollout: Gradual automation built trust with the SOC team
• Customize for healthcare: Clinical context made all the difference
• Measure everything: Quantified results made the business case clear

Ready to Transform Your SOC?

See how Vigilense AI can deliver similar results for your organization. Request a demo and let us show you what autonomous security operations looks like.