Generative AI (GenAI) catapulted from a curiosity to a central force in enterprise technology almost overnight. Its ability to generate text, code, images, and insights on demand has made it indispensable for employees eager to cut through complexity and boost productivity. But with this innovation and efficiency comes massive exposure to risk.

In conversations with executives and AI governance leaders across industries, one theme surfaces again and again: data security has moved from a key concern to the focal point of their strategy, and it is the defining challenge of enterprise AI adoption. Unlike traditional software or even past waves of machine learning, GenAI changes the fundamental process for securing data within an organization.

Join this session to learn:
– What makes GenAI so different and why it’s a big deal
– The impact of GenAI on businesses
– Potential collateral repercussions of GenAI
– The path forward and how to adopt GenAI responsibly

Every innovation presents a potential vulnerability, and every vulnerability a potential headline. Enterprises that quickly learn this lesson will be the ones still leading when the hype cycle passes. GenAI dissolves the boundaries of security. The leaders who recognize this will shape the future of secure innovation.