NeuralTrust

What is NeuralTrust?

NeuralTrust is an AI security and governance platform designed to help enterprises monitor, protect, and control AI agents and large language model (LLM) applications. It provides a centralized layer to detect threats, enforce policies, and prevent data leaks across AI systems in real time. With features like automated red teaming, runtime security, and behavioral monitoring, it helps organizations safely scale AI adoption. Large enterprises mainly use NeuralTrust to ensure compliance, reduce risks, and maintain full visibility over how AI operates within their infrastructure.

NeuralTrust is an AI security platform designed to help enterprises govern, monitor, and protect AI agents and LLM-based systems at scale. It provides a centralized layer to control agent behavior, detect threats, prevent data leaks, and enforce policies across internal apps, third-party tools, and endpoints. The platform has analyzed 22M+ AI interactions, blocked 3M+ attacks, and monitored 1,000+ AI applications, while maintaining <100 ms latency and supporting 20K+ requests per second per node. Backed by a $20M seed round in 2026, NeuralTrust serves large enterprises across banking, airlines, and government sectors, helping secure the growing ecosystem of autonomous AI agents.

• Founder / Leadership: Joan Vendrell (CEO & Co-founder), Alejandro Domingo (Co-founder & COO), and Victor Garcia (Co-founder)
• Launch Year: 2022

Use Cases:

• Securing autonomous AI agents and monitoring runtime tool/API execution against unauthorized actions
• Deploying a unified Generative Application Firewall (GAF) to stop prompt injections and multi-turn jailbreaks
• Automating PII masking and confidential data sanitization across customer-facing LLM interactions
• Continuous compliance reporting and forensic audit logging for EU AI Act, GDPR, and HIPAA mandates

Technology:

• High-performance, open-source proxy gateway architecture written in Go (TrustGate)
• Semantic vector inspection engine for contextual intent analysis and threat detection
• Automated continuous adversarial red-teaming pipeline (TrustTest) simulating emerging vulnerabilities

Target Users:

• Chief Information Security Officers (CISOs) and enterprise cybersecurity architects
• AI platform engineers and DevSecOps professionals managing production LLM pipelines
• Enterprise risk and compliance officers operating in heavily regulated industries
• Engineering leads seeking cost-effective multi-model routing and semantic caching

Acquisition: Operates as an independent enterprise cybersecurity company 

Key features of NeuralTrust

NeuralTrust's key features are

• High-Performance AI Gateway (TrustGate): Open-source, Go-powered proxy that orchestrates multi-provider model routing, rate limiting, and dynamic failovers with near-zero latency overhead.
• Generative Application Firewall (GAF): Analyzes incoming prompts and outgoing model completions to block indirect prompt injections, jailbreaks, toxic content, and system prompt leaks.
• Agentic Action & Tool Defense: Enforces runtime permission policies and monitors API tool calls to prevent rogue agent execution and data exfiltration.
• Automated PII Redaction & Data Masking: Detects and anonymizes sensitive customer records, financial figures, and credentials before payloads reach third-party model providers.
• Automated Adversarial Red-Teaming (TrustTest): Continuously stress-tests LLMs and agents in staging and production to detect hallucinations, model drift, and new jailbreak vulnerabilities.
• Semantic Caching: Reuses cached responses for semantically equivalent queries, reducing API latency and token compute expenses.
• Forensic Audit Logging & Telemetry: Captures complete audit trails and tracing metrics mapped to OWASP, NIST, GDPR, HIPAA, and EU AI Act regulatory requirements.
• Model-Agnostic Extensibility: Provides middleware plugins and SDKs for popular frameworks like LangChain, Haystack, LlamaIndex, Cursor, and n8n.

NeuralTrust Pricing

NeuralTrust offers a hybrid distribution model combining a free open-source gateway with enterprise cloud and self-hosted control plane editions.

Open-Source Edition (TrustGate):

• $0 (Apache 2.0 License)
• Free self-hosted gateway with multi-provider routing, load balancing, and semantic caching via GitHub

Developer & Team Cloud:

• Usage-based tier with free introductory trial credits
• Hosted proxy endpoints, real-time threat detection dashboards, and automated PII masking

Enterprise Platform:

• Custom quote based on token throughput, connected agents, and infrastructure scale
• Includes custom policy engines, continuous TrustTest red-teaming, VPC/on-premise Kubernetes deployment, and dedicated SLAs

Disclaimer: For the latest enterprise deployment packages and customized rate quotes, please visit the official NeuralTrust website at neuraltrust.ai.

Who is using NeuralTrust?

NeuralTrust is designed for a broad range of enterprise and security teams, including

• Enterprise Cybersecurity Leads: Securing multi-model AI agent deployments across corporate infrastructure
• Fintech & Banking Developers: Ensuring strict PII masking and regulatory compliance across customer service agents
• Healthcare Providers: Protecting sensitive patient data and ensuring HIPAA/GDPR alignment across LLM pipelines
• AI Product Engineers: Implementing intelligent model fallback, load balancing, and semantic caching to slash API costs
• Content Creators: Using writing tools to produce security whitepapers, agent governance guides, and compliance documentation
• DevSecOps Teams: Running automated adversarial attack simulations to stress-test production AI applications

Best NeuralTrust Alternatives

Some of the strongest NeuralTrust alternatives include

• Portkey.ai
• Lakera Guard
• Protect AI
• LiteLLM (Proxy)
• Martian (Model Router)
• Prompt Armor

Pros and Cons of NeuralTrust

Pros

• Purpose-built for agentic security—protects tool execution and multi-turn loops, not just single prompts
• TrustGate open-source core allows organizations to deploy and audit gateway code locally
• Groundbreaking security research team with proven discovery of real-world vulnerabilities like Echo Chamber
• Deep compliance support aligning AI operations with the EU AI Act, OWASP GenAI Top 10, and HIPAA
• Semantic caching and dynamic load balancing significantly reduce operational model costs

Cons

• Full enterprise control plane and automated red-teaming (TrustTest) require custom enterprise sales engagement
• Deploying a high-throughput proxy inside air-gapped VPCs requires internal Kubernetes/DevSecOps expertise
• Real-time semantic inspection adds slight microsecond latency overhead to LLM round-trips
• Market awareness for runtime AI firewalls is still maturing relative to traditional cloud security tools

Why Choose NeuralTrust?

NeuralTrust is the ideal choice for security-conscious organizations and engineering teams that need to deploy autonomous AI agents safely without risking data leaks or policy violations.

• Secures the action layer where agents call tools and APIs, closing modern attack vectors
• Operates an ultra-fast, open-source gateway (TrustGate) that eliminates vendor lock-in
• Detects and blocks multi-turn contextual jailbreaks and prompt injections in real time
• Automatically scrubs PII and sensitive data before it reaches external model providers
• Lowers LLM expenses through intelligent model routing and semantic caching

NeuralTrust vs. Competitors

The main difference between NeuralTrust, Portkey.ai, Lakera Guard, and Protect AI is that NeuralTrust unifies high-performance gateway proxy routing with deep agentic action security and automated red-teaming (TrustTest), whereas Portkey focuses primarily on developer observability and routing, Lakera Guard specializes in linguistic prompt injection detection, and Protect AI concentrates on static ML model scanning and supply-chain security. NeuralTrust stands out for its runtime agent defense and open-source infrastructure.

How do we rate NeuralTrust?

NeuralTrust Review

NeuralTrust delivers an indispensable architectural foundation for the emerging era of agentic artificial intelligence. As enterprises grant foundation models the authority to execute code, query internal databases, and interact with external systems, the traditional practice of relying solely on model-level alignment proves insufficient. By positioning TrustGate at the network and runtime layers, NeuralTrust gives security leaders the granular visibility and policy enforcement needed to stop attacks before they cause harm. For enterprise organizations seeking to scale autonomous AI systems securely and cost-effectively, NeuralTrust is an outstanding platform.

Conclusion

NeuralTrust helps organizations manage and secure AI systems by providing visibility, monitoring, and control over how models behave in real-world use. Instead of treating AI as a black box, it adds guardrails to reduce risks and ensure compliance. This is especially important as businesses scale AI adoption. Overall, NeuralTrust strengthens trust in AI, helping teams deploy models safely, maintain oversight, and align AI usage with regulatory and operational standards.