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Thales expands collaboration with Google Cloud to secure agentic AI workflows

Thales announced an expanded partnership with Google Cloud to protect enterprise‑wide agentic AI workflows. The integration links Thales AI Security Fabric with Google Cloud Gemini Enterprise, giving organizations real‑time visibility, policy enforcement, and threat detection across interactions among users, agents, models and tools.

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Key points

  • Thales AI Security Fabric now integrates with Google Cloud Gemini Enterprise for real‑time agentic AI protection
  • The joint solution addresses prompt injection, data leakage, unsafe outputs and unauthorized actions in AI workflows
  • Thales and Google Cloud say the partnership helps enterprises move from AI experimentation to secure large‑scale agent deployment

Eva Rudin, senior vice‑president of cybersecurity products at Thales, said the move addresses new attack surfaces created when autonomous AI agents make decisions and act on critical business systems. Vineet Bhan, director of security and identity partnerships at Google Cloud, added that the joint solution helps customers move from AI experimentation to secure, large‑scale deployment of AI agents.

The collaboration targets risks such as prompt injection, data leakage, unsafe outputs and unauthorized actions, aiming to give security and compliance teams the controls needed to govern AI‑driven processes while maintaining business agility.

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Full story from aol.com · by AOL · via Search: GoogleOpen source ↗

Thales Expands Collaboration with Google Cloud to Help Secure Agentic AI Workflows

aol.com · 27 September 2026

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This text was published by aol.com and written by AOL. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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ThalesGoogle CloudGemini EnterpriseEva RudinVineet BhanMarion Bonnet

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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