Generative AI is no longer a futuristic concept—it's rapidly being woven into the very fabric of modern enterprises. From content generation and process automation to customer engagement and insight generation, the technology is unlocking new realms of possibility.

But this transformation comes at a cost.

A growing body of research reveals an uncomfortable truth: 84% of CEOs identify cybersecurity, privacy, and accuracy as the biggest barriers to adopting generative AI.* Yet, only 24% of current GenAI initiatives include a component to secure these projects. **

This gap poses a serious risk to enterprise data—the same data that fuels large language models, trains intelligent systems, and underpins mission-critical decision-making. As organizations increasingly rely on vector databases, multi-cloud environments, and hybrid data architectures , the security and governance landscape is becoming dangerously complex.

Enterprises now face a pivotal question:

How do we innovate responsibly, without compromising on security?

In this exclusive webinar, IBM experts will shed light on the unseen risks of GenAI deployments and provide a clear framework for building a secure, compliant, and resilient AI foundation.

Key discussion points include:

• Why security and governance must be integral to any GenAI strategy
• How to gain end-to-end visibility across all data—on-prem, cloud, PaaS & DBaaS
• How IBM enables unified protection across multi-cloud environments
• What it takes to mitigate long-term threats like “Harvest now, decrypt later”
• Practical steps for building ethical, scalable, and secure GenAI deployments

This is more than a technology challenge—it’s a trust imperative.