Thales has launched AI Security Fabric. This advanced platform safeguards real-time apps using smart agents and large language models (LLMs). This new suite of tools is made to tackle AI-related threats. It offers runtime protection for AI systems, corporate data, and digital identities. This lets organizations innovate safely while meeting regulatory standards.
Built to address the unique vulnerabilities associated with generative AI and autonomous agents, AI Security Fabric targets specific risk vectors such as prompt injection, data leakage, model tampering and unsecured RAG (Retrieval-Augmented Generation) workflows common pain points hindering secure enterprise adoption of AI technologies.
Why AI Security Fabric Matters for Modern Enterprises
With organizations increasingly embedding AI across business functions, the attack surface for sophisticated cyber threats continues to widen. According to industry analysis, 78% of enterprises now use AI in at least one business domain, up from 55% two years ago, prompting 73% of these organizations to invest in AI-specific security tools.
AI Security Fabric provides a cohesive suite of protections designed to help enterprises:
• Enable Secure AI-Driven Growth: Organizations can expand AI initiatives with confidence by minimizing the risks of threat injection, model manipulation and exposure of sensitive or regulated information.
• Protect Core Assets Across Environments: The platform controls data access for AI agents and GenAI tools, applies runtime security across cloud and on-premises infrastructure, and strengthens interactions with minimal integration overhead.
• Ensure Enterprise-Grade Compliance: Leveraging proven security mechanisms that align with industry best practices, the solution addresses the top 10 most critical OWASP risks, helping organizations avoid reputational damage and costly breaches.
Also Read: Bugcrowd Unveils Advanced AI Capabilities to Accelerate Security Resilience
Key Initial Capabilities
AI Security Fabric includes two foundational modules:
• AI Application Security: Focused on protecting proprietary AI applications that leverage LLMs, this module offers real-time defense against threats such as prompt injection, model jailbreak, leaking of system prompts, denial-of-service attacks against models, sensitive data exposure and content moderation issues. Flexible deployment options support cloud-native, on-premises and hybrid setups.
• AI RAG Security: Designed to safeguard sensitive business information before it enters RAG-based applications, this capability couples comprehensive data protection including encryption and key management with secure communication channels between LLMs and external data sources.
Executive Insight
“AI is transforming business operations, and therefore, organizations need security solutions that address the specific risks posed by both agentive and generic AI applications,” emphasized 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.”
Looking Ahead: 2026 Enhancements
Thales plans to expand AI Security Fabric in 2026 with advanced features such as enhanced data loss prevention, a Model Context Protocol (MCP) security gateway and comprehensive runtime access controls. These enhancements are expected to further solidify protection for data flows, secure agent-level access and ensure seamless, compliant interactions among users, AI models and data sources.
