Securing the AI Frontier: Managing Emerging Risks in the Era of Widespread AI Adoption

As AI adoption accelerates across industries—with 86% of executives anticipating mainstream implementation by 2025 according to PwC—organizations face an increasingly complex risk landscape. This session examines the critical security challenges emerging at the intersection of rapid AI deployment and organizational risk management.
The proliferation of AI systems introduces novel vulnerabilities spanning data protection, model security, and operational resilience. With AI increasingly embedded in critical infrastructure and decision-making processes, security failures can cascade into significant financial losses, reputational damage, and regulatory penalties. This presentation explores how sophisticated threat actors are already exploiting AI vulnerabilities and developing AI-enhanced attack vectors including advanced deepfakes and autonomous threat campaigns.
Drawing from real-world case studies, this talk outlines a comprehensive framework for AI risk management—from secure model development through deployment to continuous monitoring—that balances innovation with robust security controls. Special attention is given to emerging regulatory requirements and industry-specific compliance challenges under frameworks like GDPR, HIPAA, and anticipated AI-specific legislation.
Attendees will gain actionable insights for implementing zero-trust architectures for AI systems, establishing effective governance models, and developing cross-functional approaches to AI risk that align technical, legal, and ethical considerations. The session concludes with strategic recommendations for organizations to build secure, ethical, and resilient AI capabilities that maintain stakeholder trust while delivering transformative business value.