As security leaders continue to grapple with these threats, lessons from the past year remain critical. The 2024 Change Healthcare ransomware attack—one of the largest healthcare breaches in U.S. history—disrupted medical claims processing nationwide, exposed sensitive data of approximately 190 million individuals, and resulted in a $22 million ransom payment that failed to prevent data leaks. Meanwhile, the Texas Tech University Health Sciences Center (TTUHSC) breach compromised the records of 1.46 million patients, disrupting clinical and research operations. These attacks reveal how AI-enhanced threats, supply chain vulnerabilities, and stealthy intrusion techniques are outpacing traditional detection methods.

This session will equip security leaders with modern approaches to detecting and responding to advanced cyber threats before they escalate. Attendees will explore how AI-driven threat intelligence, behavioral analytics, and real-time monitoring can enhance detection capabilities, reduce false positives, and strengthen resilience against cyberattacks.

Key Takeaways:

• AI-Augmented Threat Detection: Leveraging machine learning to identify real-time attack patterns, enhance anomaly detection, and reduce response times.
• Behavior-Based Analytics: Using attack path mapping and behavioral profiling to detect stealthy threats that evade signature-based defenses.
• Supply Chain and Vendor Monitoring: Strengthening third-party risk assessments, vendor access controls, and device monitoring to prevent indirect compromises.
• Operationalizing Threat Detection: Implementing threat prioritization frameworks to reduce alert fatigue and ensure SOC teams focus on the highest-risk threats.