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

• The integration enables new protections for communication between AI agents, models, enterprise data, and tools to help control what agents can access, share, and do.
• Thales AI Security Fabric reduces risk, adds visibility and policy enforcement to AI-driven workflows on Google Cloud

MEUDON, France – Thales today announced collaboration expanded with Google Cloud to help enterprises address the emerging security and governance challenges associated with agent AI, bringing unified protection, visibility, and policy enforcement to AI-driven workflows on Google Cloud. “By expanding our collaboration with Google Cloud, we’re helping organizations build the confidence they need around security and governance as the foundation they need for the next generation of enterprise AI.” Eva Rudin, Senior Vice President at Thales

The integration of Thales AI Security Fabric with Google Cloud Gemini Enterprise helps organizations implement security, governance, and visibility into interactions between users, agents, models, and tools in real time.

As companies move beyond AI experimentation and begin to deploy autonomous agents at scale, traditional security approaches are struggling to keep up. Unlike conventional applications that work in a predefined workflow, AI agents can reason, plan, decide and act with other agents dynamically, creating new attack surfaces and governance challenges.

According to industry analysts, securing agent AI has emerged as one of the most significant challenges facing enterprise AI adoption, as organizations seek to balance innovation with security, compliance, and trust.

The expanded collaboration between Thales and Google Cloud is designed to help organizations address emerging risks in the agent AI lifecycle, including rapid injection, leakage of sensitive data, insecure output, unauthorized actions, and increasingly complex agent-to-agent interactions.

When companies connect AI agents to sensitive business systems and critical data, they create a broader and more dynamic attack surface than traditional security architectures are designed to manage. For example, AI agents tasked with settling insurance claims may exceed their mandate by using personal information from external approved sources to influence payments, creating privacy and compliance risks. Thales AI Security Fabric applies controls around agents to keep them within legal boundaries, restrict data access, and block inappropriate actions in real time.

This unified security layer provided by the Thales AI Security Fabric can be used in interactions to help organizations enforce policies, detect AI-specific threats, maintain visibility into agent behavior, and support government requirements. With this foundation, organizations can deploy AI agents to execute legitimate business workflows while mitigating the risks associated with a growing attack surface.

Thales AI Security Fabric helps organizations securely scale AI by providing visibility and control over how AI systems and agents access data, interact with each other, and act across the enterprise. It enables businesses to discover and assess AI-related risks, protect sensitive information, help prevent illegal or unsafe actions, and ensure AI activities are aligned with organizational policies and user intent. Centralized governance and compliance capabilities also give security and business leaders the confidence to expand their use of AI while maintaining appropriate oversight.

https://www.businesswire.com/news/home/20260928647188/en/

marion.bonnet@thalesgroup.com