ACL Hydration: Secure Agentic AI Workflows in 2026 (Google Drive, SharePoint)

ACL Hydration: Secure Agentic AI Workflows in 2026 (Google Drive, SharePoint)

DataRobot has unveiled ACL Hydration, a groundbreaking framework that enforces granular access controls in agentic AI systems by preserving the original permissions of source documents. This innovation ensures AI agents retrieve information only if the requesting user has legitimate access in the source system—whether it’s Google Drive, SharePoint, or other enterprise repositories. By embedding real-time authorization at query time, ACL Hydration eliminates the risk of unauthorized data exposure in generative AI workflows, a critical concern for regulated industries.

How ACL Hydration Integrates with Google Drive and SharePoint

ACL Hydration continuously syncs access control lists (ACLs) from external data sources into DataRobot’s vector database infrastructure. When documents are ingested, their native permissions—such as user roles, group memberships, and file-level restrictions—are captured and preserved. The system uses the Drive Activity API for Google Drive and Delta Query for SharePoint to enable near-real-time synchronization of permission changes, ensuring AI responses always reflect the latest access rules.

Why Access Control Matters in Agentic AI

Without ACL Hydration, agentic AI systems risk exposing confidential documents to unauthorized users—even if those documents were only temporarily indexed in a vector store. This poses serious compliance risks under GDPR, HIPAA, and SOX. By maintaining source-level access controls, ACL Hydration ensures the security posture of enterprise systems remains intact during AI processing, preventing data leaks before they happen.

Seamless Identity Integration with Azure AD and Okta

ACL Hydration integrates natively with enterprise identity providers like Azure AD and Okta, allowing AI agents to recognize users by their existing credentials. This eliminates duplicate authentication systems and ensures consistent user identity across platforms. Organizations can configure role-based access policies directly from their identity management tools, streamlining governance and reducing administrative overhead.

Real-World Enterprise Use Cases

Marketing and customer service teams are already leveraging ACL Hydration to deploy AI agents that answer queries from internal knowledge bases without risking data leaks. For example, a sales rep can ask an AI agent for a client’s contract details—only to receive answers if they have permission in the original Google Drive folder. This enables secure, context-aware assistance at scale across departments.

Monitoring, Troubleshooting, and Enterprise Readiness

The framework includes detailed monitoring dashboards for background sync operations and tools to troubleshoot permission mismatches or latency issues. While currently a premium feature unavailable in trial environments, ACL Hydration represents a strategic leap for enterprises adopting agentic AI at scale. It doesn’t just enhance security—it redefines trust in AI-driven knowledge workflows.

As organizations increasingly rely on AI agents to navigate vast, distributed knowledge repositories, the integrity of data access becomes paramount. ACL Hydration delivers on the promise of secure, context-aware AI by ensuring that the right information reaches the right user—every time.