Securing Sensitive Data Across the AI Lifecycle
The rise of Gen AI and agentic workflows has fundamentally shifted the data security landscape.
Today, sensitive data is no longer confined to predictable silos; it is flowing into LLMs, AI Apps, automated pipelines, creating an "AI data sprawl" beyond the protection of traditional data security controls. This rapid adoption, especially through automated workflows and non-human identities, creates critical blind spots across the entire AI data lifecycle.
Join us for a fireside chat featuring Prasidh Srikanth, Senior Director of Product Management at Palo Alto Networks, and John Grady, Principal Analyst at Omdia, to learn how to secure sensitive data from the moment it is created, as it flows through GenAI applications and AI agents, and as it is shared across the modern enterprise. Together, we will discuss the emerging risks associated with this AI data sprawl and explore next-generation, AI-powered security strategies designed to deliver consistent, frictionless data protection across your entire AI-ready SASE environment.
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