Thales' AI Security Fabric marks a significant advancement in the realm of application security tailored specifically for Agentic AI and large language model (LLM)-powered applications. According to the company, this new offering aims to address the unique challenges posed by AI technologies, which have rapidly evolved to play critical roles across various enterprises.
The AI Security Fabric is designed to protect enterprise data and identities through runtime security capabilities. This becomes increasingly essential as organisations face the risks associated with AI, including prompt injection, data leakage, model manipulation, and vulnerabilities in retrieval-augmented generation (RAG) pipelines.
McKinsey says 78% of organisations are using AI in at least one business function, up from 55% two years ago. This aligns with the 2025 Thales Data Threat Report which noted that 73% of organisations are investing in AI-specific security tools to counteract emerging threats in the evolving digital landscape.
With up to 78% of businesses utilising AI in some capacity, the demand for specialised security solutions has never been more pressing. Thales recognises that while AI has the potential to revolutionise operations, it also introduces a set of vulnerabilities requiring tailored security measures.
“As AI reshapes business operations, organisations 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 products business.
This highlights the urgency for robust security safeguards that do not add operational complexity.
The initial capabilities of the AI Security Fabric include AI application security, which offers real-time protection against AI-specific threats, and retrieval-augmented generation (RAG) Security.
The latter ensures that sensitive data is secure before being integrated into AI systems. This emphasis on data protection is critical as organisations increasingly depend on AI for business growth while managing risk.
In a press release, Thales stated it plans to expand its AI Security Fabric in 2026, introducing enhancements such as data leakage prevention and access control mechanisms. These features are expected to further strengthen the framework for securing data flows and ensuring compliant management of interactions between users, models, and data sources.
This initiative reflects a proactive approach to navigating the complexities of AI security, addressing both the organisational and technological demands of modern enterprises.
