3-day Virtual Seminar

Privacy Risks in the Age of AI

Overview

This webinar provides an executive-level overview of privacy challenges introduced by modern AI systems. It explains how GenAI models process data, where privacy vulnerabilities emerge, and how adversaries exploit them. Leaders will gain clarity on regulatory expectations, risk frameworks, and the tools needed to ensure privacy-by-design in AI deployments. The session blends strategic insights with real-world examples to help organizations build responsible AI systems that do not compromise sensitive information.

Why you should Attend

• To understand where AI introduces new privacy risks that traditional data-protection controls cannot handle
• To learn the top emerging threats: model leakage, training-data exposure, inference attacks, shadow AI, and agent autonomy risks
• To gain practical guidance on enterprise privacy governance, architectural safeguards, and compliance requirements
• To learn how to prevent employee misuse, accidental data sharing, and policy violations
• To leave with a clear roadmap to make your AI systems secure, private, and audit-ready

"In the age of AI, a single prompt or model interaction can expose confidential data. The greatest risk isn't malicious actors- it’s organizations deploying AI without the privacy guardrails to protect their own people, customers, and intellectual property."

Areas Covered in the Session

• Understanding Privacy Risks in the AI Era
  
• Key Threats induced by AI
  
• Regulatory and Compliance Expectations
  
• Privacy by design for AI systems
  
• Enterprise governance & Risk Management
  
• Mitigating Risks in Real-World AI use
  

Who Will Benefit

• CEO's
  
• CIO's
  
• CISO's
  
• Chief Privacy Officers
  
• Chief Data Officers
  
• Chief Risk Officers
  
• Chief Compliance Officers
  
• Legal & Regulatory Leaders
  
• Security Leaders
  
• Data Protection Leaders
  
• Digital Transformation Leaders
  
• IT Governance Heads
  
• Privacy Program Managers