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Management and Leadership

Production at Risk: A Manufacturing CISO's Playbook for Agentic AI Governance

IANS

How do you scale agentic AI across manufacturing environments without creating new identity, data, and governance risks?

Manufacturing organizations are deploying AI agents across engineering, operation, and security teams faster than traditional governance programs can keep pace. As nonhuman identities proliferate and AI gains access to sensitive production data, CISOs need a practical framework to establish control before AI-related risk reaches the plant floor.

Download the article to learn how to establish AI governance before agent sprawl becomes an operational risk.

Discover:

  • How to build an AI agent governance framework, including agent registries, ownership models, and lifecycle management practices
  • Practical approaches to manage nonhuman identities (NHIs), including service accounts, tokens, API keys, and AI agents
  • How to strengthen IAM, DLP, and data governance controls before expanding Copilot, ChatGPT, and other agentic AI tools across IT and OT environments

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Click here to access 3 Priorities Manufacturing CISOs Are Acting On Now

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