Thales introduced AI Security Fabric, a real-time security platform designed to protect AI-driven and large language model (LLM) applications, business data, and identities. The solution addresses emerging AI-specific threats, including command injection, data leakage, model manipulation, and insecure retrieval-augmented generation (RAG) pipelines, enabling organizations to innovate securely while maintaining regulatory compliance.
As AI use grows, security issues have risen. The Thales 2025 Data Threat Report shows that 78% of organizations now use AI in at least one business area. This is up from 55% two years ago. Additionally, 73% are investing in AI-specific security tools. Thales AI Security Fabric provides a complete solution, safeguarding AI applications, data, and identities in both cloud and on-premises settings.
“With AI transforming business operations, organizations need security solutions that address the specific risks posed by both agentive and generic AI applications,” said Sebastien Cano, Executive Vice President of Thales’ Cyber Security Products Business. “Thales AI Security Fabric provides companies with the specialized tools they need to protect AI applications and minimize operational complexity. Backed by decades of security expertise, Thales enables companies to confidently scale their AI adoption while protecting sensitive data, applications, and user interactions.”
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Key capabilities of AI Security Fabric include:
AI Application Security: Provides real-time protection for applications using LLMs. It defends against prompt injection, jailbreaking, system prompt leaks, denial-of-service attacks, and sensitive data exposure. It also addresses content moderation risks. Flexible deployment supports cloud-native, on-premises, and hybrid architectures.
AI RAG Security: Safeguards structured and unstructured enterprise data before incorporation into RAG applications. Offers encryption, key management, and secure communication between LLMs and external data sources.
Thales plans to expand AI Security Fabric in 2026. This will include new runtime protections like data loss prevention, a Model Context Protocol (MCP) security gateway, and complete runtime access control. These updates will enhance data flow security, agent-based AI access, and compliance.
By providing enterprise-grade, standards-compliant AI protection, Thales helps organizations adopt AI safely. This allows them to boost innovation while reducing operational risk.