AI is one of the fastest-growing technologies in the history of modern business, with the ability to revolutionize industries, optimize operations, and drive innovation, but it also introduces security gaps, risks, and vulnerabilities. According to McKinsey, 78% of organizations are using AI in at least one business function, up from 55% two years ago. As a result, 73% of them are using new or existing budgets to invest in AI-specific security tools, according to the 2025 Thales Data Threat Report.
Thales introduces the first foundational capabilities of its AI Security Fabric to protect the core and edge of enterprise AI ecosystems.
Thales AI Security Fabric – Protect your apps, data, and identities with LLM
Thales AI Security Fabric enables organizations to:
- Safely enable growth with AI: Maximize the business value of AI by enabling innovation and scale while mitigating risks such as rapid injection, data leakage, model manipulation, and leakage of sensitive or regulated data.
- End-to-end protection for data, applications, and identities: Provide controlled dataset access for Agentic AI and GenAI, deploy runtime security across cloud and on-premises environments, and secure all AI interactions with minimal integration effort.
- Take advantage of enterprise-grade, standards-based protection: Leverage proven security features to directly address the most important OWASP Top 10 risks and prevent costly and reputation-damaging incidents before they impact your organization.
The first features currently available are:
- AI Application Security: A security solution designed to protect homegrown applications that use LLM. Provides real-time protection against AI-specific threats such as prompt injections, jailbreaks, system prompt leaks, model denial of service attacks, sensitive information leaks, and content moderation. It has flexible and seamless deployment options to fit any architecture, including cloud-native, on-premises, and hybrid environments.
- AI Search Augmentation Generation (RAG) Security: Provides the ability to discover and protect sensitive structured and unstructured enterprise data before it is ingested into search extension applications using a comprehensive data protection solution that includes encryption and key management. Secure communications between LLM and external data sources.
“As AI reshapes business operations, organizations need security solutions tailored to the specific risks posed by Agentic AI and Gen AI applications,” said Sebastien Cano, senior vice president of Cyber Security Products Business at Thales. “Thales AI Security Fabric provides enterprises with purpose-built tools to protect AI applications while minimizing operational complexity. Backed by decades of security expertise, Thales enables enterprises to scale AI deployments with confidence and protect sensitive data, applications, and user interactions.”
Thales plans to expand its AI Security Fabric in 2026 with new runtime security features such as data loss prevention, Model Context Protocol (MCP) security gateway, and end-to-end runtime access control. These capabilities improve protection across data flows, secure agent AI data access, and ensure unified and compliant management of interactions between users, models, and data sources.
You can learn more, get a trial version, and access some of these tools on the Thales AI Security Fabric website.
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