As organizations leverage artificial intelligence (AI) to accelerates digital transformation, threats actors are also building and introducing highly sophisticated cyber threats that challenge traditional security models. AI-powered threats, including malware, phishing, deepfakes, and credential attacks, evolve at an unprecedented pace, exploiting gaps in identity and traditional network security. To combat these evolving threats, organizations should adopt a Zero Trust Network (ZTN) approach, which eliminates implicit trust, enforces least privilege access, and continuously verifies every user, device, and transaction.

In this session, we will discuss AI-driven threats at each stage of the Cyber Attack Lifecycle and discuss how Zero Trust disrupts attacks at every stage—from reconnaissance to exfiltration. Attendees will gain strategic insights into real-world attack scenarios, key architectural considerations, and innovative security controls that leverage identity-first security, segmentation, and AI-driven threat detection to neutralize cyber adversaries.

Learning Objectives 

Understand the intersection of AI-driven threats and Zero Trust security.
Learn How Zero Trust mitigates AI-Powered Attacks Across the Cyber Attack Lifecycle
Learn practical and actionable strategies to enhance cybersecurity resilience using Zero Trust principles.

* Please note: This is not included in the Main Conference registration and requires a separate registration.