As businesses increasingly integrate artificial intelligence (AI) into their operations, the need for robust security solutions has become paramount. A recent report from McKinsey highlights that 78% of organizations now utilize AI in at least one business function, a significant increase from 55% just two years ago. In response to this growing reliance on AI, 73% of these organizations are allocating resources toward AI-specific security tools, whether through new investments or reallocated budgets, according to the 2025 Thales Data Threat Report.
In light of these developments, Thales has introduced the first foundational capabilities of its AI Security Fabric, a suite designed to protect the core and edge of enterprises’ AI ecosystems. The launch aims to address the unique security challenges posed by AI applications, which include risks related to prompt injection, data leakage, and model manipulation.
The Thales AI Security Fabric promises to enable organizations to maximize the business value of AI while mitigating associated risks. By providing end-to-end protection for data, applications, and identities, the fabric facilitates secure AI-driven growth. Users can deploy runtime security across both cloud and on-premises environments, ensuring a comprehensive safeguard for all AI interactions.
Key features of the AI Security Fabric include the ability to unlock AI-driven growth securely. Organizations can enable innovation and expansion while simultaneously addressing vulnerabilities that could expose sensitive or regulated data. The technology leverages enterprise-grade protection aligned with industry standards, specifically targeting the critical OWASP Top 10 risks, thereby preventing potentially costly or reputation-damaging incidents.
The initial capabilities available through the AI Security Fabric focus on two main areas: AI Application Security and AI Retrieval-Augmented Generation (RAG) Security. The former offers real-time protection against AI-specific threats, such as prompt injection and sensitive information leakage, and supports flexible deployment options across various architectures, including cloud-native, on-premises, and hybrid environments. The RAG Security component ensures that sensitive enterprise data is secure before it is ingested into AI applications and facilitates secure communication between large language models (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 Products Business. He emphasized that the 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, protecting sensitive data, applications, and user interactions.
Looking ahead, Thales plans to expand its AI Security Fabric in 2026 with additional runtime security capabilities. Future enhancements will include data leakage prevention, a Model Context Protocol (MCP) security gateway, and end-to-end runtime access control. These features aim to further strengthen protection across data flows, secure agentic AI data access, and ensure a unified, compliant management of interactions between users, models, and data sources.
For organizations navigating the rapidly evolving landscape of AI, the Thales AI Security Fabric represents a significant step toward securing their AI ecosystems. With intended expansions and improvements on the horizon, Thales is positioning itself as a crucial player in the intersection of AI and cybersecurity.
For more information or to access trials of these tools, visit the Thales AI Security Fabric website.
See also
WalkMe Launches Learning Arc and AI Features to Bridge Digital Adoption Gap by 2026
TRA Warns Brands Risk Losing Consumer Trust to AI Platforms, Urges Transparency
ServiceNow Acquires Moveworks to Enhance AI Workflows and Drive Employee Productivity
5 Essential Workflow Automation Tools with AI Features for Professionals
ImagineX Launches 100+ AI Models, Revolutionizing Video and Image Creation for Creators
