Thales launches AI Security Fabric

Thales is introducing the first foundational capabilities of an AI Security Fabric to protect the core and edge of enterprise AI ecosystems.

An announcement from the French defense major cited research to frame the move: it referenced McKinsey saying 78% of organizations use AI in at least one business function, up from 55% two years ago, and said the 2025 Thales Data Threat Report found 73% of organizations are currently investing in AI-specific security tools.

Thales initial features include AI Application Security, to provide real-time protection for homegrown applications that use large language models against threats such as prompt injection, jailbreaking, system prompt leakage, model denial-of-service attacks, sensitive information leakage and content-moderation failures.

The defense company also unveiled 'AI Retrieval-Augmented Generation Security' as a method to discover and secure sensitive structured and unstructured enterprise data before ingestion, and to secure communications between LLMs and external data sources.

“As AI reshapes business operations, organizations require security solutions tailored to the specific risks posed by Agentic AI and Gen AI applications,” said Sebastien Cano, senior vice president of Thales’ Cyber Security.

Thales added that the offerings support cloud-native, on-premises and hybrid deployments and include encryption and key management for data protection.

It plans to expand the AI Security Fabric in 2026 with additional runtime security capabilities, including data leakage prevention, a Model Context Protocol security gateway and end-to-end runtime access control.

The Recap

• Thales launches AI Security Fabric to protect enterprise AI ecosystems.
• First features include AI application security and RAG data protection.
• Thales will expand runtime security features across data flows in 2026.