Insider threats remain one of the most persistent and dangerous challenges in the financial sector, contributing to significant data breaches and financial losses. Unlike external cyberattacks, insider threats exploit legitimate access, making them difficult to detect using traditional security methods. These threats can arise from malicious insiders, negligent employees, or compromised accounts, posing severe risks to financial institutions.

This session will explore how Trellix Wise AI and Trellix NDR (Network Detection and Response) provide a proactive, AI-driven approach to insider threat detection. By leveraging behavioral analytics and machine learning, Wise AI continuously monitors user activities to detect anomalies, while NDR analyzes network traffic to uncover hidden patterns of suspicious behavior, such as unauthorized data movement or lateral access attempts. Together, these solutions deliver real-time threat visibility, risk-based alerting, and automated response capabilities to stop insider threats before they escalate.

Additionally, we will highlight Trellix’s latest innovation—Attack Path Discovery, which helps security teams map out potential insider attack pathways before they are exploited. By identifying high-risk access routes and security gaps, Attack Path Discovery enables financial institutions to strengthen defenses proactively, reducing the risk of insider-driven breaches.

Attendees will gain insights into best practices for strengthening security operations, enhancing SOC efficiency, and implementing AI-powered defenses against insider risks. Learn how Trellix’s cutting-edge technologies can help financial organisations protect their most valuable assets from internal threats, ensuring operational resilience and regulatory compliance.