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Thales Launches AI Security Fabric, Providing AI Runtime Security for Agentic AI and LLM-Powered Applications
- MEUDON, France - Thursday, 11. December 2025
- AETOSWire
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Thales launches its new AI Security Fabric, delivering the first runtime security capabilities designed to protect Agentic AI, LLM-powered applications, enterprise data, and identities.
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New capabilities address emerging AI-specific threats—including prompt injection, data leakage, model manipulation, and insecure RAG pipelines—helping organizations innovate safely while maintaining compliance.
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With upcoming 2026 enhancements, Thales aims to provide a comprehensive security layer for AI ecosystems, enabling enterprises to confidently scale AI adoption across cloud and on-premises environments.
Thales launches its new AI Security Fabric, delivering the first runtime security capabilities designed to protect Agentic AI, LLM-powered applications, enterprise data, and identities.
New capabilities address emerging AI-specific threats—including prompt injection, data leakage, model manipulation, and insecure RAG pipelines—helping organizations innovate safely while maintaining compliance.
With upcoming 2026 enhancements, Thales aims to provide a comprehensive security layer for AI ecosystems, enabling enterprises to confidently scale AI adoption across cloud and on-premises environments.
(BUSINESS WIRE) -- 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 is also introducing 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 investing in AI-specific security tools, either with new or existing budgets, according to the 2025 Thales Data Threat Report.
Thales is introducing the first foundational capabilities of its AI Security Fabric to protect the core and edge of enterprises' AI ecosystems.
Thales AI Security Fabric – Safeguarding LLM-Powered Apps, Data, and Identities
With Thales AI Security Fabric, organizations will be able to:
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Unlock AI-driven growth securely: Maximize AI’s business value by enabling innovation and expansion while mitigating risks such as prompt injection, data leakage, model manipulation, and exposure of sensitive or regulated data.
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Protect data, applications, and identities end-to-end: Provide Agentic AI and GenAI with controlled dataset access, deploy runtime security across cloud and on-premises environments, and safeguard all AI interactions with minimal integration effort.
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Rely on enterprise-grade, standards-aligned protection: Leverage proven security capabilities that directly address the most critical OWASP Top 10 risks and prevent costly or reputation-damaging incidents before they impact the organization.
The first capabilities available now are:
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AI Application Security: a security solution designed to protect homegrown applications that use LLMs. Providing real-time protection for AI-specific threats, including prompt injection, jailbreaking, system prompt leakage, model denial-of-service attacks, sensitive information leakage, and content moderation. With flexible and seamless deployment options to fit any architecture, whether cloud-native, on-premises, or hybrid environments.
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AI Retrieval-Augmented Generation (RAG) Security: provides the capability to discover and secure sensitive structured and unstructured enterprise data before it is ingested into retrieval-augmented applications with comprehensive data protection solutions, including encryption and key management. Helps secure communication between the LLM and external sources of data.
“As AI reshapes business operations, organizations require security solutions tailored to the specific risks posed by Agentic AI and Gen AI applications,” Sebastien Cano, Senior Vice President of Thales’ Cyber Security Products Business, said. “Thales AI Security Fabric offers enterprises specialized tools to secure AI applications while minimizing operational complexity. Supported by decades of security expertise, Thales enables businesses to confidently scale their AI adoption, safeguarding sensitive data, applications, and user interactions.”
Thales plans to expand its AI Security Fabric in 2026 with new runtime security capabilities, including data leakage prevention, a Model Context Protocol (MCP) security gateway, and end-to-end runtime access control. These features will strengthen protection across data flows, secure agentic AI data access, and ensure unified, compliant management of interactions between users, models, and data sources.
See more information or get trials and access to some of these tools at the Thales AI Security Fabric Website.
About Thales
Thales (Euronext Paris: HO) is a global leader in advanced technologies for the Defence, Aerospace, and Cyber & Digital sectors. Its portfolio of innovative products and services addresses several major challenges: sovereignty, security, sustainability, and inclusion.
The Group invests more than €4 billion per year in Research & Development in key areas, particularly for critical environments, such as Artificial Intelligence, cybersecurity, quantum, and cloud technologies.
Thales has more than 83,000 employees in 68 countries. In 2024, the Group generated sales of €20.6 billion.
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View source version on businesswire.com: https://www.businesswire.com/news/home/20251211710650/en/
