NeuralTrust is an AI security platform that secures AI agents, LLMs, and GenAI applications through a high-performance AI gateway processing 20,000+ requests per second, automated red teaming, and guardian agents for autonomous AI monitoring. The split-plane architecture keeps all customer data on-premises or in the customer’s VPC, addressing data sovereignty requirements that cloud-only competitors cannot match.
Founded by Joan Vendrell Farreny (CEO), Alejandro Domingo, and Victor Garcia, NeuralTrust is headquartered in Barcelona with a US office in New York. The company has an official partnership with the European Union and counts major enterprises among its customers, including Banco Sabadell, Iberia, Capgemini, NTT Data, and Air Europa.
NeuralTrust has been recognized in the Gartner Market Guide for AI Gateways (2025) and the Gartner Market Guide for Guardian Agents (2026). KuppingerCole named it a Product and Innovation Leader, and the platform aligns with OWASP, NIST, and Cloud Security Alliance standards. To date, NeuralTrust reports blocking over 15 million attacks, scanning 6.7 million+ models, and analyzing 22 million+ AI interactions.

What is NeuralTrust?
NeuralTrust takes a platform approach to AI security, combining four capabilities under one roof: a high-throughput AI gateway for runtime protection, automated red teaming for pre-deployment testing, guardian agents for agentic AI security, and compliance automation for regulatory requirements.
The architecture uses a split-plane design. The data plane — where all customer content is processed — runs entirely within the customer’s environment (on-premises, VPC, or hybrid). The control plane manages configuration and policy but never touches customer data. This separation addresses data sovereignty requirements without sacrificing centralized management.
The AI gateway handles over 20,000 requests per second per node with sub-100ms latency, making it one of the higher-throughput options in the AI security space. NeuralTrust maintains an open-source presence on GitHub, though the core commercial platform is proprietary.
Key Features
| Feature | Details |
|---|---|
| Gateway Throughput | 20,000+ requests per second per node |
| Detection Latency | Sub-100ms for real-time enforcement |
| Detection Accuracy | 99% multilingual detection |
| Architecture | Split-plane (data plane on-prem/VPC, control plane separate) |
| Agent Security | Guardian Agents, MCP Gateway, MCP Scanner |
| Red Teaming | 150+ attack catalogue, adversarial simulation |
| Model Scanning | Code Scanner for model-side vulnerabilities |
| Data Protection | Automatic PII masking and sensitive data detection |
| Bot Detection | Real-time blocking of scrapers and synthetic users |
| Compliance | OWASP, NIST, Cloud Security Alliance alignment |
| Supported Endpoints | ChatGPT, Google Gemini, Microsoft Copilot, Cursor, Claude Code, homegrown agents and chatbots |
| Deployment | Cloud, on-premises, VPC, hybrid |
Runtime security
The AI gateway acts as a Generative Application Firewall, inspecting all traffic between users and AI systems. It provides prompt protection against injection attacks, content moderation with customizable policies, and automatic PII masking before data reaches AI models. Bot detection blocks scrapers and synthetic users that attempt to extract model knowledge or abuse API endpoints.

MCP security
NeuralTrust provides dedicated tools for securing Model Context Protocol communications. The MCP Gateway controls which tools and data sources AI agents can access, while the MCP Scanner tests for vulnerabilities in the CI/CD pipeline. This catches issues before agents reach production with overly permissive tool access.
Model Code Scanner
Beyond runtime protection, the Model Code Scanner examines model-side code for vulnerabilities and security issues. This catches problems in the model layer itself — not just the inputs and outputs — addressing a blind spot that many AI security tools overlook.
Getting Started
When to use NeuralTrust
Ideal for organizations that need high-throughput AI security with data sovereignty guarantees. The split-plane architecture and 20,000+ request-per-second gateway make it a strong fit for enterprises running AI at scale in regulated environments where data cannot leave the organization’s perimeter.
The Guardian Agents concept is especially relevant for organizations deploying autonomous AI agents with MCP server access. Rather than trying to secure agents through static policies alone, NeuralTrust deploys security agents that watch over production AI agents in real time.
The EU headquarters and European Union partnership make NeuralTrust a natural choice for organizations subject to the EU AI Act and GDPR, though the New York office supports North American deployments as well.
For a broader overview of AI security solutions, see the AI security tools guide. For AI red teaming with MITRE ATLAS alignment, consider Mindgard.
For runtime prompt injection defense, see Lakera Guard or LLM Guard. For infrastructure-level intent-based controls, look at WitnessAI.