AI can only move as fast as people trust it. Today, the real perimeter is your data, spread across clouds, apps and devices and the challenge is to keep it safe without slowing innovation. In this session, experts from HCLTech and Microsoft will share a blueprint for securing the data that fuels AI. We’ll discuss how to gain instant visibility into what’s sensitive, establish guardrails that travel with the data and tailor protection to real-world risk so that teams can create, share and build with confidence. You’ll leave with practical ways to “govern once, enforce everywhere,” a simple operating model that sticks and the matrix to show measurable progress.

Key discussion points:

• Why traditional network boundaries no longer work when AI touches everything and what that means for your security strategy.
• How organizations that solve for "secure by default" AI will outpace those stuck in approval loops and shadow IT.
• Why making data discoverable for AI while keeping it protected requires rethinking governance from the ground up
• Why most data governance fails and how adaptive, risk-based controls create security people actually follow.
• How ungoverned data across clouds becomes a liability in AI and why "classify once, protect everywhere" is the only scalable answer.

Why attend:

• Learn why your traditional security playbook is about as useful as a chocolate teapot in the AI era
• Discover how to make data discoverable for AI without turning it into a free-for-all
• Get the "govern once, enforce everywhere" blueprint
• Find out why companies stuck in approval loops are watching their competition zoom past