From prompt input to tool execution, NeuralTrust gives you complete control over how autonomous agents behave — and what they can access.
Secure multi-agent systems and tool-calling workflows against injections, abuse, and unintended actions in real time.
Enforces fine-grained, role-based access controls on your agent control plane (MCP), ensuring tools and data are only invoked by authorized identities.
MCP Composer gives your teams complete control over AI Agent interactions with tools and data, with granular permissions for every operation.
Scan and test MCP servers code for threats and vulnerabilities
Designed specifically for tool-using, multi-agent GenAI systems.
Define, manage, and enforce RBAC, routing, and validation rules from a single, unified engine.
Enforce agent-level protections in real time, with sub-10ms latency on GPU and minimal overhead on CPU.
Officially backed by the European Commission and trusted in high-risk deployments across finance.
Designed specifically for tool-using, multi-agent GenAI systems.
Define, manage, and enforce RBAC, routing, and validation rules from a single, unified engine.
Enforce agent-level protections in real time, with sub-10ms latency on GPU and minimal overhead on CPU.
Officially backed by the European Commission and trusted in high-risk deployments across finance.
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.
Do not leave vulnerabilites uncovered, make sure your Agents are secure and reliable