What is NeuralTrust?
NeuralTrust is an enterprise security platform for organisations deploying large language model applications and AI agents. It bundles a runtime AI gateway, red teaming and vulnerability testing, and real time behavioural monitoring so security teams can discover, secure, and govern every AI agent running in production. The platform is sold to enterprises in financial services, healthcare, and technology with cloud, VPC, on premises, and hybrid deployment options.
Why NeuralTrust works
Most LLM security tools sit at one layer, either prompt filtering or red teaming, and leave the other gaps for the security team to stitch together. NeuralTrust runs the gateway, the offensive testing, and the runtime telemetry on a shared control plane so the same risk found by red teaming surfaces in production alerts. That gives security leads a single place to enforce policy across homegrown and third party AI applications.
NeuralTrust features
- TrustGate AI gateway. Open source gateway that proxies LLM and agent traffic with zero trust controls so prompt injection, sensitive data leakage, and bot abuse are blocked before reaching the model.
- TrustTest red teaming. Automated vulnerability testing that probes models, prompts, and agent toolchains for jailbreaks, data exfiltration, and behavioural drift before launch.
- TrustLens runtime monitoring. Behavioural tracing, real time alerting, and shadow AI detection so security teams see every prompt, tool call, and policy violation as it happens.
- Guardian Agents. Policy enforcing agents that watch other agents at runtime and intervene on planning or tool use that breaches the configured posture.
- MCP scanner and gateway. Dedicated controls for Model Context Protocol traffic so teams can inventory and secure third party MCP servers before connecting them to internal agents.
- Flexible deployment. Split control and data plane architecture lets enterprises run NeuralTrust in cloud, VPC, on premises, or hybrid modes to keep sensitive prompts inside their boundary.
Who NeuralTrust is for
- CISOs at regulated enterprises rolling out generative AI features who need an audit ready security layer across every model and agent.
- AI platform teams in financial services and healthcare that must prove prompt and tool use stay within data residency and policy limits.
- Security engineers running red team programmes against LLM and agent applications before they ship to production.
- MLOps and AgentOps leads consolidating multiple internal LLM endpoints behind a single governed gateway.
Similar micro SaaS ideas you can build
- MCP server inventory scanner. Tool for platform security teams that catalogues every MCP server an internal agent connects to and scores them for risk, sold per agent fleet.
- LLM cost and policy gateway for mid market. Lighter weight gateway aimed at series A and B SaaS companies that bundles spend caps with basic prompt guardrails, billed per million tokens routed.
- AI red team as a service. Boutique offering that runs scheduled jailbreak and prompt injection campaigns against a customer's production LLM endpoints, sold on a retainer.
- Shadow AI discovery for SOC teams. Network sensor that flags unsanctioned ChatGPT and Claude usage from corporate devices, priced per monitored employee.
