Enforcing Security with Zero Trust

Zero Trust Architectures (ZTA) have become a cornerstone of modern security strategies in the era of sophisticated cyber threats and ever-expanding and morphing attack surfaces. But how can organizations ensure their zero trust frameworks stay adaptive, intelligent, and resilient? Enter artificial intelligence (AI) and machine learning (ML)—the ultimate dynamic duo for elevating zero trust to the next level.

This session delves into the powerful synergy between AI and ML and their role in strengthening zero trust principles. From real-time user behavior analysis and anomaly detection to predictive threat modeling and dynamic policy enforcement, AI and ML are transforming the way organizations approach security. Attendees will gain insights into practical use cases, including automating access controls, enhancing endpoint security, and optimizing network segmentation. Discover how these technologies can help your organization build a zero trust architecture that evolves with the threat landscape and ensures robust protection for your critical assets.