What is a Runtime Security Mesh for AI agents?

A Runtime Security Mesh for AI agents is a security layer that monitors and protects agentic traffic in real time — including incoming prompts, tool calls, tool responses, and agent reasoning — across any AI agent platform, without requiring a custom integration per agent or provider.

What does NeuralTrust's Agent Gateway protect?

NeuralTrust's Agent Gateway monitors six stages of agentic traffic: (1) incoming prompts for injection attempts and toxic content, (2) tool calls for code injection and exposed credentials, (3) tool responses for indirect prompt injection, (4) tool access against authentication and authorization policies, (5) agent reasoning across full sessions to detect drift, and (6) final user responses for policy compliance and exposed data.

Why can't point solutions scale for AI agent security?

Point solutions require a separate custom integration for each AI agent or platform. Since enterprise environments commonly run dozens of different agents across multiple providers and frameworks, this approach creates operational overhead that doesn't scale. NeuralTrust's extensible mesh provides a single control plane across any agent.

Has NeuralTrust been recognized by Gartner?

Yes. NeuralTrust has been named a Representative Vendor in two separate Gartner Market Guides related to AI security and a Leader in KuppingerCole's 2025 Leadership Compass for Generative AI Defense.

What is the Model Context Protocol (MCP) and why does it need security?

The Model Context Protocol (MCP) is an open standard that allows AI agents to connect to external tools, APIs, and data sources. Unsecured MCP connections are a primary vector for indirect prompt injection, unauthorized tool access, and credential exposure. NeuralTrust's Runtime Security Mesh provides native MCP monitoring as part of its six-stage inspection framework.

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NeuralTrust Launches the First Runtime Security Mesh Extensible to Every AI Agent

NeuralTrust Team5 de agosto de 2026

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