The AI Gateway pattern goes further beyond standard guardrails, securing LLMs across all layers—from network to semantic—while providing contextual analysis beyond isolated prompt evaluation.
Enable security by default at the architecture level, ensuring protection without reliance on application-specific safeguards.
Protect every aspect of your AI systems, no matter the source, by defending against network, semantic, application, and data vulnerabilities.
Conduct deep semantic analysis of prompts and responses to ensure robust protection, effective content moderation, and safe AI outputs.
Leverage advanced threat detection to identify and respond to unusual patterns and behaviors.
NeuralTrust is a high-performance, distributed AI gateway that outperforms all alternatives on the market in both execution speed and detection accuracy.
NeuralTrust enables seamless switching between clouds, model providers, and applications, ensuring that security and governance remain agnostic, independent, and adaptable to your future vendor choices.
Maintain consistent enterprise security and governance frameworks, regardless of your evolving technology stack.
Leverage a plugin-based architecture designed for flexible extensibility, enabling anyone to easily add new features.
Avoid vendor lock-in through a decoupling layer that offers the flexibility to move across clouds and model providers.
Future-proof your LLM architecture with complete access to the AI Gateway’s core functionality under a fully open source license.
The AI Gateway goes beyond security, providing critical tools to effectively scale generative AI —preparing your organization for the era of conversational AI.
Reduce service costs and latency with enterprise-wide semantic caching, reusing responses for fundamentally equivalent questions.
Set granular rate limits and settings for each user group on specific endpoints, enabling tailored role-based access control.
Gain complete control over your AI traffic with features like load balancing, A/B testing, model switching, and dynamic scaling.
Monitor and manage token consumption with precision, enabling granular oversight for each application and consumer group.
