Neural Trust

Paid

Enterprise-grade AI security and governance for safe, scalable generative AI.

#AI security#governance platform#generative AI#LLMs#real-time auditing#risk management#compliance#TrustGate#TrustLens#TrustTest#Generative Application Firewall#traceability#policy-based guardrails#automated reporting#adversarial attacks#bias#hallucinations#model-agnostic#platform-agnostic#cloud deployment#on-prem deployment#hybrid environments#EU AI Act compliance

Inputs: text, code, file, apiOutputs: text, code, file, api

Type

Saas

Company

NeuralTrust

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About Neural Trust

NeuralTrust is an enterprise-grade AI security and governance platform designed to protect generative AI, large language models (LLMs), and autonomous agents. It provides a centralized solution for discovering, monitoring, and securing AI agents across an organization, addressing risks such as prompt injection, data leakage, hallucinations, bias, and adversarial attacks. The platform integrates three core components: TrustGate for real-time protection, TrustLens for full-stack observability, and TrustTest for continuous evaluation, along with a Generative Application Firewall and agent security features. NeuralTrust is model- and platform-agnostic, offering sub-10 ms latency and over 20,000 requests per second throughput, and can be deployed in cloud, on-premises, or hybrid environments to help enterprises comply with frameworks like the EU AI Act.

The platform enables organizations to gain complete visibility into deployed agents, connected tools, and execution workflows, establishing a real-time inventory of AI operations. It allows full control over autonomous agent behavior and access, from reasoning and planning to action execution. NeuralTrust supports native integration with various parts of the AI stack, including homegrown systems, agentic platforms, third-party SaaS, and endpoints, ensuring centralized oversight across external AI infrastructure. The platform also offers agent runtime security, an agent gateway, and agent posture management to enforce security and policy even when agents are configured outside the core codebase.

NeuralTrust is trusted by leading companies and has been recognized in industry reports such as the 2025 Market Guide for AI Gateways and the 2026 Market Guide for Guardian Agents. The platform claims to have blocked over 3 million attacks, monitored more than 1,000 AI applications, and analyzed over 22 million AI interactions. It is designed for security teams and enterprises looking to adopt AI safely at scale, providing automated reporting, policy-based guardrails, and traceability for all AI interactions.

Key Features

TrustGate real-time protection for LLMs and agents

TrustLens full-stack observability and conversational analytics

TrustTest continuous evaluation and quality monitoring

Generative Application Firewall (GAF) for AI-specific threats

AI Gateway for unified routing, security, monitoring, and billing

Model, code, and dataset vulnerability and misconfiguration scanning

Detailed tracing and logging of every AI interaction

Policy-based guardrails with evidence and approval workflows

Automated, audit-ready evidence collection and framework mapping (OWASP, MITRE, ISO)

AI-powered threat detection with real-time, contextual alerts and automated containment

Pros & Cons

Pros

Comprehensive security coverage for the full AI lifecycle, including agents
Low latency (sub-10 ms) and high throughput (20,000+ RPS) suitable for production use
Model- and platform-agnostic, allowing integration with various AI stacks
Flexible deployment options: cloud, on-premises, or hybrid
Recognized by industry analysts (e.g., Gartner Market Guides)
Appears to offer native integration with existing SIEM systems

Cons

Pricing is not publicly listed and requires contacting sales, which may be a barrier for smaller teams
Free tier or trial availability is not mentioned and should be verified
Platform complexity may require dedicated security expertise to configure and manage
Effectiveness depends on proper setup and continuous tuning of guardrails
Some features (e.g., agent runtime security) may be specific to certain deployment scenarios

Best For

CISO & Security Engineering: Deploy a Generative Application Firewall and real-time guardrails to stop prompt injection, data exfiltration, and adversarial attacks against AI assistants.AI Platform Team: Unify traffic management and access to multiple LLMs through an AI Gateway with smart routing, failover, and semantic caching to reduce latency and cost.Compliance & Risk: Automate evidence collection, map controls to OWASP/MITRE/ISO, and generate audit-ready reports for EU AI Act and sector regulations.Data Privacy Officer: Enforce privacy controls with anonymization options, zero-knowledge architecture, customer‑managed keys, and end‑to‑end encryption.Contact Center Operations: Secure customer-facing chatbots with real-time monitoring to reduce hallucinations and prevent sensitive data leakage.Healthcare IT & Clinical Safety: Protect clinical AI assistants from unverified diagnoses, enable full traceability, and support compliance in regulated healthcare environments.Insurance & Claims Automation: Harden autonomous agents handling claims with continuous evaluation, policy guardrails, and detailed audit logs.Financial Services: Meet stringent governance needs for AI in banking with model‑agnostic controls, role‑based access, and comprehensive logging for KYC/AML workflows.DevOps/SRE: Increase uptime for AI services using automatic recovery, failover, private endpoints, and DDoS protection.Threat Detection & Response: Leverage real‑time observability and conversational analytics for AI-specific threat hunting and automated incident containment.