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MCP Gateway is a commercial agentic ai security tool by NeuralTrust. Enkrypt AI MCP Gateway is a commercial agentic ai security tool by Enkrypt AI. Compare features, ratings, integrations, and community reviews side by side to find the best agentic ai security fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams deploying AI agents need MCP Gateway to enforce access control before agents touch your tools and data, not after they've already made the call. The sub-10ms latency on GPU means you're not choosing between security and agent responsiveness, and the full audit trail covers your liability when auditors ask what that agent actually did. Skip this if your agents are still in isolated sandbox environments or if you're not yet running agents in production; the value sits entirely in controlling access across live, production agent deployments.
Mid-market and enterprise security teams deploying agentic AI should use Enkrypt AI MCP Gateway because it's the only tool that enforces policy at the point where agents actually call external tools, not after the fact. The inline proxy architecture with pre-execution evaluation and post-execution validation covers the full request-response cycle, and multi-tenant policy scoping by role and environment means you're not rebuilding rules for each deployment. Skip this if your agents are mostly isolated from sensitive systems; the approval workflow and secrets detection add friction that only pays off when agents touch production data or privileged APIs.
Gateway for controlling AI agent access to tools and data with permissions
Open-source control plane for MCP tool traffic with inline policy enforcement
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Common questions about comparing MCP Gateway vs Enkrypt AI MCP Gateway for your agentic ai security needs.
MCP Gateway: Gateway for controlling AI agent access to tools and data with permissions. built by NeuralTrust. headquartered in Spain. Core capabilities include Granular access control for AI agent tool usage, Role-based access control (RBAC) for agents and LLMs, Read/write operation restrictions..
Enkrypt AI MCP Gateway: Open-source control plane for MCP tool traffic with inline policy enforcement. built by Enkrypt AI. headquartered in United States. Core capabilities include Inline MCP proxy for intercepting requests and responses between agents and MCP servers, Policy enforcement with modify, require approval, and block modes, Pre-execution evaluation of tool and MCP calls..
Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.
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