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How to control agentic AI access to enterprise data

Published

21 September 2026

Topic

technology

◆ Sectors

AI AgentsCybersecurityData Infrastructure

◆ Source

Read at techtarget.com →

◆ Verified

Fusion42 · 23 September 2026 · Fusion42 review

Enterprise data governance must evolve to control agentic AI, which dynamically accesses data unlike fixed-permission accounts. Emerging standards like OAuth extensions and the Model Context Protocol enable runtime, least-privilege authorization and delegated authority tracking for AI agents.

This Wire brief sits within Fusion42's coverage of AI Agents, Cybersecurity and Data Infrastructure.

◆ ◆ The Wire takeaway

You must separate AI agent identities from shared accounts and enforce runtime, task-specific permissions to avoid costly data breaches. This shift forces rapid upgrades to access management and audit systems that many enterprises are currently unprepared for.

◆ Coverage

1 source · 21 Sep 2026

◆ Related on Wire

◆ Topics

AI AgentsCybersecurityData Infrastructureagentic-aidata-governanceidentity-managementruntime-authorizationaudit-trail