Whitepaper: When AI Becomes the User

Rethinking Data Control for Assistants, Agents, and Autonomous Workflows

Why Existing Controls Are Falling Behind

Whitepaper cover

AI is changing the moment where data risk happens. Assistants and agents can retrieve, assemble, and generate content inside workflows, often on behalf of users and across systems those users never directly touch.

This whitepaper examines the control gap opening inside AI-driven workflows, why existing security models struggle to keep up, and what security leaders need to evaluate before autonomous systems become a larger part of enterprise operations.

The Architectural Break

Enterprise data security was built for a world where humans made the final decision before sensitive information moved. AI assistants and agents are changing that workflow pattern, creating a new control gap most legacy tools were never designed to close.

The Missing Context Layer

The risk is no longer just whether data is sensitive. It is whether the data is being used, shared, or generated correctly in a specific business context. The whitepaper explains why that distinction matters now.

Principles for In-Line Control

As AI workflows move faster, after-the-fact monitoring becomes less useful. The whitepaper outlines the control principles security leaders need to evaluate before assistants and agents become deeply embedded across the enterprise.

Download the Whitepaper

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