The Future of Privacy Operations: How Privacy Teams Can Steer the AI Revolution

Kobi Nissan, CEO and Co-founder, MineOS 

Privacy teams face unprecedented pressure: growing data systems, evolving regulations, tighter budgets and a board demanding artificial intelligence-driven efficiency. Traditional privacy programs — manual processes, static records and fragmented risk assessments — struggle to keep pace with today’s fast-moving data ecosystem, slowing progress.

This session explores how autonomous privacy and risk management are reshaping the role of privacy leaders. We will examine how AI-powered insights can elevate privacy from a reactive compliance function to a strategic driver of trust, safety and innovation. Attendees will learn how to transition from checklists to continuous, self-updating programs that anticipate risks before they escalate — while keeping humans in the loop where judgment matters most.

What you will learn:

• Why traditional, manual privacy programs cannot keep up with the velocity of modern data.
• The levels of autonomy — AI agents that observe, analyze, decide and act. Also, where we are today and what is coming next.
• How to maintain oversight, accountability and ethical guardrails in AI-driven programs.
• Step-by-step guidance for integrating AI into privacy operations and creating measurable impact.

Sponsored by: MineOS