As generative AI becomes embedded in business strategy, the question is no longer whether to adopt it but how to do so securely. Across industries, leaders are seeking ways to balance innovation with protection all while safeguarding sensitive data, preserving trust, and ensuring compliance across every stage of AI deployment.

This session brings together data, cloud, and security professionals to share what is working, what remains challenging, and how organizations are approaching responsible AI in regulated environments. Attendees will hear how scalable platforms are enabling secure experimentation, model development, and deployment while maintaining full data governance. The conversation will focus on real lessons from the field and tangible practices that help teams run AI workloads anywhere with confidence and control.

BWG Connect, Protegrity & Cloudera invite you to join an interactive event with industry peers to review & discuss practical insights across the digital space.

As always, there will be no sales pitch and all attendees are welcome to listen and learn.

• Balancing innovation and security
  • How regulated industries are advancing generative AI adoption while maintaining trust and compliance.
• Protecting sensitive data
  • Which proven techniques and policies are minimizing data exposure as AI systems scale across the enterprise.
• Building trust through governance
  • How consistent data controls and centralized policy management create a foundation for responsible AI operations.
• Lessons from the field
  • What organizations have learned through their early successes, setbacks, and cross-functional collaboration.
• Applying Zero Trust principles
  • How to prevent data leakage, secure AI agents, and protect personally identifiable information in unstructured data.
• Platforming responsible AI
  • What scalable, hybrid architectures enable a secure and consistent experience for data and AI workloads across cloud environments.