Enkrypt AI MCP Gateway vs Stacklok Enterprise MCP Platform: Side-by-Side Comparison (2026)

Short answer

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. Enterprise security teams deploying AI agents to interact with internal systems need governance that actually stops prompt injection and unauthorized tool access, not just visibility after the fact; Stacklok Enterprise MCP Platform enforces least-privilege access at the agent-to-system boundary through centralized policy controls, addressing the PR.AA and GV.SC gaps most platforms ignore. The platform logs every AI tool call and mediates MCP server connections, giving you audit trails that satisfy compliance while blocking risky agent behaviors before they execute. Skip this if your AI tooling is still experimental or siloed by department; Stacklok assumes you have multiple agents in production and need governance at scale.