Data and AI Trust in the Agentic Era

The rise of autonomous agents and AI-driven workflows is shifting where risk lives in the enterprise. Data that was once passive now becomes an active input to decision engines, which increases the consequences of poor data quality, unverified backups, and misaligned identity controls. Leaders must answer new questions about which datasets are safe for consumption, how to validate recovery artifacts after an attack, and how responsibility for resilience is shared across technology and security teams.

Leading organizations are moving from ad hoc protection toward integrated Data and AI Trust practices. That means more than backing up data. It requires clearer classification of AI-safe data, stronger links between identity governance and recovery controls, and routine validation that backups are free of compromise. These shifts reduce operational friction when autonomous systems scale, and limit the downstream impact of tampered or unsafe data on AI-driven outcomes.

This session will help you surface practical controls and governance patterns to protect agentic workflows, validate recovery readiness after a ransomware event, and define joint ownership models for data resilience. Bring your challenges and walk away with concrete discussion points to align security, operations, and data teams around trustworthy data at machine speed.

We’re the home of Data & AI Trust

At Veeam, we believe trust is the foundation for unlocking the promise of data and AI. We help organizations make their data understood, secured, and resilient, so they can innovate with confidence and scale AI responsibly. As the leader in both data resilience and security posture management, Veeam is built for the new reality where identity, data, security, and AI are inseparable.