Data Security for the AI Era: Discover, Govern, Prevent

AI can expose business-critical information that predefined rules were never built to find, from unclassified documents surfaced by copilots to forgotten repositories reached by agents and sensitive content pulled into RAG pipelines. Standard classifiers catch known regulated data but often miss the business-specific information your organization creates – clinical research protocols, product roadmaps, supplier contracts – document types no generic taxonomy was built to classify.

Join us for this 30-minute webinar, the first in our three-part Data Security for the AI Era series, to:

• Learn how AI classifiers help security teams identify and categorize documents across cloud, SaaS, and on-premises environments – without writing rules
• Understand how Data Security Posture Management identifies data risks and helps teams prioritize AI-related data exposure
• Watch a live demo showing how Proofpoint discovers, classifies and labels sensitive data at scale.

Every AI agent, copilot, and service account introduces a new identity with its own access footprint. As AI adoption accelerates, stale entitlements, orphaned accounts, and over-permissioned access expand the attack surface—and AI amplifies existing access risks.

Join this 30-minute webinar, the second in our three-part Data Security for the AI Era series, to learn how organizations can extend data access governance beyond human users to AI agents and automated processes. We'll explore how automated, workflow-driven remediation helps reduce risk at scale and demonstrate Proofpoint's data access governance capabilities across SaaS and cloud environments.

You'll learn how to:

• Govern what sensitive data users and AI can access using AI-powered data classification
• Remediate risky access at scale with automated bulk actions and delegated workflows 
• See Proofpoint's data access governance capabilities in a live product demonstration

GenAI tools have created new ways for sensitive data to leave the organization – through prompts, uploads, paste actions, and responses. Traditional DLP wasn’t designed for this kind of real-time, AI-driven data movement, where risky behavior can happen outside sanctioned workflows and before security teams ever see it.

Join us for this 30-minute webinar, the third in our three-part Data Security for the AI Era series, to:

• Learn how to detect and prevent sensitive data exposure across sanctioned and shadow AI tools
• Discuss how security teams can enable safe AI use without blocking productivity
• Watch a live demo showing how Proofpoint helps protect sensitive data at the point of AI use