NeuralTrust

What NeuralTrust does

NeuralTrust is an enterprise platform recognized by Gartner for securing AI Agents. It provides security teams with the visibility and control needed to scale AI adoption confidently. The platform offers vulnerability detection, attack prevention, performance monitoring, and regulatory compliance for AI agents. It centralizes the discovery and security of all AI agents, enabling safer enterprise adoption by controlling agent behavior and access, from reasoning and planning to action execution. NeuralTrust integrates natively across the AI stack, including homegrown agents, agentic platforms, third-party SaaS, and endpoints, to monitor agent behavior, stop attacks, data breaches, and unusual activity. It is built for enterprise-scale AI, designed for complex, regulated, and performance-critical environments, offering low latency, data sovereignty, high accuracy in multilingual detection, and scalability.

Products

• TrustGateOpen-source AI gateway for LLM and agent traffic, providing multi-provider routing, load balancing, policies, semantic cache, and MCP.
• TrustGuardRuntime security that inspects prompts and responses inline for jailbreaks, PII, toxicity, and tool abuse, with capabilities to block or redact. It tracks conversation context, factors in identity and protocol, and models interaction patterns to detect multi-turn and behavioral attacks.
• TrustLensDiscovers and continuously assesses every AI surface across an organization, including agents, models, IDEs, browsers, MCP servers, and managed endpoints, from a single inventory.
• TrustTestEnables red teaming of LLM applications, building evaluations, and measuring safety and reliability before production rollout.

Key capabilities

• Vulnerability detection
• Attack prevention
• Performance monitoring
• Regulatory compliance
• Centralized platform to discover and secure AI agents
• Full control over agent behavior and access
• Real-time inventory of AI operations
• Native integration across the AI stack (homegrown, agentic platforms, third-party SaaS, endpoint)
• Agent Runtime Security
• SIEM integration
• Low latency (<100 ms)
• Data Sovereignty (split-plane architecture, on-premise, SaaS, hybrid deployment)
• 99% Multilingual Detection accuracy
• Scalability (20K+ requests per second per node)
• Policy enforcement on inputs and outputs
• Stateful detection (tracks conversation context across turns)
• Contextual detection (factors in identity, protocol, collector metadata)
• Behavioral detection (models interaction patterns over time)
• Prompt inspection
• PII redaction
• Semantic caching
• Multi-provider routing
• Load balancing
• MCP (Model Control Plane)
• Admin API
• Users, SSO, SCIM, audit logs, custom domain, data plane, feature flags for tenant-wide controls

Use cases

• Securing AI agents
• Governing AI agents
• Discovering deployed agents, connected tools, and execution workflows
• Monitoring agent behavior to stop attacks, data breaches, and unusual activity
• Enforcing security and policy for agents configured outside core codebase
• Maintaining centralized oversight across external AI infrastructure
• Securing interactions at the entry point
• Stress-testing chatbots with GenAI for safe go-live
• Inspecting prompts and responses for jailbreaks, PII, toxicity, and tool abuse
• Mapping AI attack surface
• Red teaming LLM applications
• Building evaluations for AI models
• Measuring safety and reliability of AI models before production rollout
• Mitigating risks through offensive and defensive security

AI approach

NeuralTrust provides a platform for securing AI agents, offering vulnerability detection, attack prevention, performance monitoring, and regulatory compliance. Their products include TrustGate (open-source AI gateway), TrustGuard (runtime security for prompt/response inspection), TrustLens (AI surface discovery and assessment), and TrustTest (red teaming and evaluation for LLM applications). They focus on behavioral, contextual, and multi-turn analysis for detection.

Tech named: LLM, GenAI

Industries served

• Financial sector
• Defense
• Government

What it says sets it apart

• Recognized by Gartner as the enterprise platform for securing AI Agents
• Specialized security layer for agents
• Proven at scale with real-world numbers (attacks blocked, AI applications monitored, financial loss prevented, models scanned, AI interactions analyzed)
• Built for Enterprise AI at Scale, operating in complex, regulated, and performance-critical environments
• Leading performance with <100 ms latency and 20K+ requests per second per node
• Data Sovereignty with split-plane architecture and deployment options (on-premise, SaaS, hybrid)
• 99% Multilingual Detection accuracy using behavioral, contextual, and multi-turn analysis
• One policy model for every AI threat class
• Stateful, contextual, and behavioral detection capabilities for multi-turn attacks
• Battle-tested in highly regulated environments
• ISO27001 certified (SaaS)
• HIPAA & GDPR ready (Hybrid cloud)
• FedRAMP & IL4 pathway (On-premises / air-gapped)
• Supported by a team of renowned specialists in generative AI and growth with decades of experience

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.