Secure AI agents
now
Secure now
your AI agents
From prompt input to tool execution, NeuralTrust gives you complete control over how autonomous agents behave — and what they can access.
Secure any AI agent system across models, frameworks, tools, and environments
Pillars for Agentic AI Security
Guardian Agent
Secure multi-agent systems and tool-calling workflows against injections, abuse, and unintended actions in real time.
Agent Monitoring
Enforces fine-grained, role-based access controls on your agent control plane (MCP), ensuring tools and data are only invoked by authorized identities.
MCP Gateway
MCP Gateway gives your teams complete control over AI Agent interactions with tools and data, with granular permissions for every operation.
The trusted solution for security and AI teams
Built for agent-native architectures
Designed specifically for tool-using, multi-agent GenAI systems.
Policy control without complexity
Define, manage, and enforce RBAC, routing, and validation rules from a single, unified engine.
Security without latency
Enforce agent-level protections in real time, with sub-10ms latency on GPU and minimal overhead on CPU.
Proven leadership in AI security
Officially backed by the European Commission and trusted in high-risk deployments across finance.
Built for agent-native architectures
Designed specifically for tool-using, multi-agent GenAI systems.
Policy control without complexity
Define, manage, and enforce RBAC, routing, and validation rules from a single, unified engine.
Security without latency
Enforce agent-level protections in real time, with sub-10ms latency on GPU and minimal overhead on CPU.
Proven leadership in AI security
Officially backed by the European Commission and trusted in high-risk deployments across finance.
Introducing Guardian Agents
AI agents are getting powerful fast. For the first time, they can be protected with other Agents.
Frequently Asked Questions
Agents can trigger real-world actions like API calls, database updates, or purchases. One prompt injection can lead to unintended execution or data leaks.
It filters prompts at the agent layer — analyzing session context and blocking unsafe, manipulative, or multi-turn attack inputs in real time.
MCP Policy controls who can do what (RBAC), while MCP Validation ensures every tool call is safe and properly structured before execution.
Yes. Our agent security stack is orchestration-agnostic, with plugin support and flexible APIs for LangChain, CrewAI, AutoGen, and internal frameworks.
Protect your AI Agents today
Do not leave vulnerabilites uncovered, make sure your Agents are secure and reliable
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