#USA #New York #Generative AI #AI Security #NeuralTrust

NeuralTrust Recognized as a Leader in AI Defense

NeuralTrust, an innovative security platform dedicated to AI agents and LLM applications, has achieved notable recognition as a leader in both Product Leadership and Innovation Leadership by KuppingerCole in their 2025 Leadership Compass focused on Generative AI Defense. This acknowledgment reflects the depth of technical expertise and the innovative strategies employed by NeuralTrust in mitigating risks associated with modern AI technologies.

Understanding the Importance of AI Security

In an age where generative AI is rapidly transforming organizational operations, the necessity of robust security mechanisms cannot be overstated. The report by KuppingerCole emphasizes the critical need for tools dedicated to safeguarding LLMs, RAG systems, and autonomous agents from constantly evolving threats posed by contemporary AI. The landscape of AI security is increasingly expansive, and traditional security measures are proving inadequate for these advanced workloads.

NeuralTrust is pioneering a security framework specifically designed to tackle these unique challenges. This includes advanced techniques capable of delivering sub-10ms real-time detection and protection across multiple languages. The platform is adept at scanning models and supply chains, with extensive coverage that includes more than thirty advanced injection techniques, thereby fortifying LLMs against prompt injections, jailbreak attempts, and reasoning manipulation.

Key Features of NeuralTrust's Platform

The KuppingerCole report highlights numerous innovative features of NeuralTrust's security solution:

• - Real-Time Detection: Capable of identifying prompt injections and other threats before they can materialize into significant breaches.
• - Multi-Language Protection: Tailored technology that supports various languages, ensuring a comprehensive defense mechanism.
• - Behavioral Protections: Safeguarding sensitive workflows through its inline Data Loss Prevention (DLP) systems, which consider more than forty types of sensitive data.
• - Policy Enforcement: Ensuring compliance with regulations such as GDPR and ISO 42001, thereby aligning with the EU AI Act.

The analysis also outlines how organizations that deploy LLMs and AI agents are now managing an ever-evolving attack surface that requires security measures explicitly tailored to these technologies. NeuralTrust's architecture enables organizations to safeguard against:

• - Risks stemming from untrusted user inputs
• - Execution of sensitive workflows by AI agents
• - The blending of proprietary data with generative reasoning across RAG systems
• - Complex supply chains involving third-party artifacts and hidden dependencies.

The AI-Native Approach

A critical element differentiating NeuralTrust from competitors is its AI-native approach. The platform utilizes generative AI not just as a utility, but as an integral part of its security architecture. This innovative philosophy allows for real-time adaptation to emerging threats, continuous red teaming, and proprietary detection techniques. As Joan Vendrell, the Co-Founder and CEO of NeuralTrust states, “Generative AI is changing how enterprises operate, but it also brings new risks that cannot be solved with legacy security.” This statement epitomizes the motivation behind the development of NeuralTrust's systems.

Looking Toward the Future

As enterprises increasingly adopt AI technologies, the need for comprehensive generative AI defense mechanisms is becoming foundational. The issues surrounding AI deployment are evolving, and organizations must implement security measures that can keep pace. NeuralTrust stands poised at the forefront of this urgent need, promising to deliver high-performance security solutions catered specifically for LLMs and AI agents.

In summary, NeuralTrust's recognition by KuppingerCole is a testament to its commitment to security innovation in an era increasingly dominated by generative AI. The platform's capabilities not only offer protection but also facilitate a climate of confidence, enabling enterprises to confidently incorporate AI into their operations while minimizing risk.