Why attend? 

AI is reshaping how organizations modernize their IT environments. As refresh cycles speed up and architectures shift, data risk is increasing across the enterprise—often in ways that aren’t immediately visible. Technology upgrades tend to move fast, but data sanitization can still be overlooked during periods of change. 

Those blind spots usually surface at key moments in the IT asset lifecycle. With AI environments becoming more distributed and data-intensive, secure data handling is essential for maintaining control and reducing risk throughout modernization efforts. 

In this live data security webinar, Blancco’s Eric Doyle is joined by Ross Biello of IBM for a practical discussion on how modern data sanitization supports enterprise AI initiatives. Drawing on his experience at IBM, Ross shares perspective on how organizations are approaching data protection as AI environments scale. The session connects sanitization to IT lifecycle management and shows how verifiable protection helps organizations move forward with greater confidence.  

What you’ll learn  

• How enterprises are managing IT asset lifecycles while under pressure to modernize for AI 

• Why secure data sanitization is critical during refreshes, migrations, decommissioning, and AI adoption 

• Best practices for protecting sensitive end-of-life data and assets across environments 

• Practical steps organizations can take to strengthen AI readiness, governance, and data integrity 

• Insights from an industry leader on strengthening governance and accountability as AI adoption accelerates 

Register to attend this webinar to learn how enterprises are addressing data risk and asset lifecycle security in AI-driven environments. 

Can’t attend live on March 11? Don’t worry! Register below and you’ll be sent the on-demand link after the webinar to watch at your leisure.