NeuralTrust · LEADING CYBERSECURITY IN THE GENERATIVE AI ERA

NeuralTrust is a pioneering company in cybersecurity for Generative AI, addressing the multifaceted risks associated with this rapidly evolving technology. Our mission is to ensure the safe, reliable, and measurable deployment of Generative AI, protecting system integrity and user trust. Our vision is to lead the cybersecurity landscape in the Generative AI era by providing robust security measures, real-time monitoring, and regulatory compliance to safeguard against misuse and vulnerabilities. The company tackles significant challenges posed by Large Language Models (LLMs), such as security vulnerabilities, functional failures, privacy breaches, responsibility failures, and availability attacks. NeuralTrust's innovative solution is a holistic cybersecurity platform with three interconnected modules: Secure AI Gateway for real-time attack blocking and service scaling, Algorithmic Red Teaming for targeted attacks to identify vulnerabilities, and Observability for real-time AI behavior analysis and full traceability. This ensures NeuralTrust can address the full spectrum of risks associated with Generative AI. The value proposition lies in its ability to provide comprehensive security for multi-turn conversations, multi-modal interactions, and contextual security, outperforming market alternatives in public benchmarks. Unlike competing guardrail solutions that analyze prompts in isolation and are embedded within individual applications, NeuralTrust is the first to secure all LLM traffic at the infrastructure level while analyzing contextual user behavior – enabled by its pioneering LLM gateway architecture. NeuralTrust's platform covers pentesting, blocking, detection, monitoring, analytics, and compliance, setting it apart from competitors focusing on narrower security aspects. The Generative AI cybersecurity market is projected to grow significantly, and NeuralTrust is well-positioned to address this critical gap with its comprehensive security solution.