MCP gateway, shadow AI discovery, runtime security and policy
Runlayer
Deployment effortLowOne platform for discovering, governing and securing agents: a device agent and cloud discovery for shadow AI, a gateway for MCP and model calls tied to your identity provider, policies to tool-argument depth, and runtime scanners on tool definitions, outputs and sessions.
Deployment: Runlayer-hosted single-tenant, or self-hosted in your AWS account (Terraform) or on EKS/GKE (Helm operator). Not open source.
- VisibilityStrongAI Watch through MDM inventories clients, MCP servers, skills and agent configs; Cloud Discovery for Copilot Studio, Azure AI Foundry, Entra Agent ID, Bedrock and AgentCore; browser extension for AI web chats.
- AuthenticationStrongDirectory sync from your identity provider; agent accounts with machine or on-behalf-of tokens; DPoP-bound tokens; OAuth broker per connector.
- Credential handlingStrongSecret references in your AWS Secrets Manager, fetched at connect time and held in memory only; short-lived repository-scoped GitHub tokens.
- Policy depthStrongPer user, group, role, agent account or attribute; server or tool scope; conditions on arguments, client, IP, OAuth scopes, tool annotations and session history; human approval (beta).
- Runtime threat detectionStrongToolGuard (tool definitions, outputs, intent drift), AgentGuard (session behavior), PII, credential and invisible-character scanners; block, mask, hint or alert; findings mapped to MITRE ATLAS.
- AuditStrongWho called, on whose behalf and with which credential; searchable, archived to S3; continuous SIEM export; session telemetry; OpenTelemetry ingest for Claude Code.
- Deployment effortLowHosted or in your own cloud; devices through existing MDM.
Best fit
Companies rolling agents out across many teams and AI clients that want one golden path: discovery, gateway, policy, runtime detection and audit together.
Not the fit for
Not a model provider, not an endpoint protection (EDR) tool and not a code-execution sandbox; pair it with those where you need them.
Runlayer vs Docker MCP Gateway →
Sources (checked November 2026)
- Runlayer: AI control plane (discovery, gateway, policies, runtime execution) · Runlayer
- Shadow AI discovery (AI Watch device agent, Cloud Discovery) · Runlayer documentation
- Policies (users, groups, agent accounts, tools, payload conditions, approvals) · Runlayer documentation
- ToolGuard (tool definition, output and intent-drift scanning) · Runlayer documentation
- Audit logs · Runlayer documentation
- Secret stores (AWS Secrets Manager references) · Runlayer documentation
- Teams and directory sync · Runlayer documentation
- Deployment overview (hosted single-tenant, AWS, EKS/GKE) · Runlayer documentation
- Runlayer Runtime Security: defense in depth, built for AI · Runlayer blog
Agent security and governance platform
Zenity
Deployment effortMediumSecurity and governance for agents across SaaS agent builders, cloud and endpoints, with an MCP gateway URL for tool calls.
Deployment: Commercial, demo-led. Self-hosting and open source not documented.
- VisibilityStrongLive inventory across SaaS (Copilot Studio, Agentforce), cloud (Bedrock, Vertex) and endpoint; known and shadow MCP servers in one place.
- AuthenticationPartialTies Okta and Entra identity to agent activity; not documented as the sign-in or OAuth layer for agents.
- Credential handlingPartialNames credential sprawl as a governed risk; vaulting or injection not documented.
- Policy depthStrongAllow, modify or block each agent action; MCP calls per tool, agent, user or team with context conditions.
- Runtime threat detectionStrongDetection and response mapped to OWASP and MITRE ATLAS; tool poisoning, rug pulls, sensitive data leaving.
- AuditStrongLive view of each request, tool and identity; audited rules; incidents feed forensics.
- Deployment effortMediumPlatform connections plus registering a gateway URL for MCP.
Best fit
Enterprises whose agents live mostly in SaaS agent builders such as Copilot Studio and Agentforce.
Not the fit for
Teams that need the credential broker and OAuth layer itself: that is not what its public pages describe.
Workload and agent identity, MCP Identity Gateway
Aembit
Deployment effortMediumWorkload identity and access management with an identity-aware gateway in front of MCP servers that holds credentials so agents never do.
Deployment: Aembit Cloud with Aembit Edge components; MCP Identity Gateway as a managed service; Terraform provider.
- VisibilityPartialWorks on agents and servers configured in policy; discovery not documented.
- AuthenticationStrongTrust providers (cloud metadata, Kubernetes, OIDC), users through your OIDC provider, combined user-and-agent access decisions, MCP authorization server.
- Credential handlingStrongGateway holds credentials in memory and injects them per request; short-lived; providers for OAuth, cloud federation, Vault and cloud secret managers.
- Policy depthPartialAccess conditions (geo, time, device posture); tool access by glob on tool names; argument rules not documented.
- Runtime threat detectionPartialContent inspection delegated to CrowdStrike AIDR as a content security provider.
- AuditStrongAudit logs, workload events and step-by-step authorization events; log streams to S3 or GCS for SIEMs.
- Deployment effortMediumSaaS control plane plus edge components you deploy in your environments.
Best fit
Teams whose priority is removing secrets from agents and workloads across clouds.
Not the fit for
Finding shadow agents, or detecting attacks in content without another vendor.
Agent identity platform
Microsoft Entra Agent ID
Deployment effortLowEntra identities, blueprints and governance extended to AI agents, including Copilot Studio agents and third-party agents through an SDK or workload identity federation.
Deployment: SaaS within Microsoft Entra.
- VisibilityPartialAgent identities listed in the Entra admin center; MCP server discovery not documented.
- AuthenticationStrongOAuth 2.0 tokens for agents acting alone or on a user's behalf; supports MCP and agent-to-agent protocols.
- Credential handlingPartialAgents retired without orphaned credentials; a secret vault for agents not documented.
- Policy depthPartialConditional Access, ID Protection and ID Governance for agents; per-tool MCP rules not documented.
- Runtime threat detectionPartialRisk detection on identities and network filtering through Global Secure Access; prompt-injection detection not documented.
- AuditPartialSign-in and audit logs for agent authentication and activity.
- Deployment effortLowPart of Entra for Microsoft customers; some security features need a Microsoft Agent 365 licence.
Best fit
Microsoft-centred organizations that want agents in the same identity governance as people.
Not the fit for
An MCP gateway or content scanner: it is an identity platform.
MCP gateway inside a zero-trust network
Cloudflare MCP server portals
Deployment effortMediumPuts several MCP servers behind one endpoint protected by Cloudflare Access, with SSO for users and tool allowlists per portal.
Deployment: SaaS; dashboard, API or Terraform.
- VisibilityPartialServers an admin adds; discovery of servers already in use not documented.
- AuthenticationStrongUsers through your identity provider in Cloudflare Access; managed OAuth for non-browser clients; service tokens for machines.
- Credential handlingPartialAttaches upstream credentials when proxying, secrets stored encrypted; without per-user upstream OAuth, users share an admin credential.
- Policy depthPartialAccess policies per portal and server; tools enabled per portal; argument rules not documented.
- Runtime threat detectionPartialOptional HTTP logging and DLP through Cloudflare Gateway; injection and poisoning detection not documented.
- AuditPartialEach tool request logged by Access; analytics API for tool-call counts.
- Deployment effortMediumNeeds a domain on Cloudflare and an identity provider in Zero Trust; private servers through Cloudflare Tunnel.
Best fit
Teams already running Cloudflare Zero Trust that want remote MCP servers behind SSO.
Not the fit for
Shadow AI discovery or content-level threat detection. Its AI Gateway is a separate product for model traffic, not an MCP gateway.
Open-source MCP gateway
Docker MCP Gateway
Deployment effortMediumAn open-source proxy that runs MCP servers in isolated containers and manages their configuration, credentials and tool access.
Deployment: Open source (MIT); Docker CLI plugin. Its governance features are listed as invite-only.
- VisibilityPartialKnows the servers in your catalogs and profiles; discovery not documented.
- AuthenticationPartialOAuth to upstream servers; user sign-in or SSO for clients not documented.
- Credential handlingStrongSecrets kept in Docker Desktop's secret store and injected when calls are forwarded.
- Policy depthPartialTools enabled per profile; containers with restricted privileges, network and resources; argument rules not documented.
- Runtime threat detectionPartialContainer isolation contains damage; threat detection not documented.
- AuditPartialBuilt-in logging and call tracing; user attribution not documented.
- Deployment effortMediumRuns with Docker Desktop's MCP Toolkit or as a binary on Docker Engine; each client pointed at it.
Best fit
Developers and small teams who want local MCP servers containerized with secrets out of config files.
Not the fit for
Company-wide identity, discovery and detection.
Runlayer vs Docker MCP Gateway →
AI security platform with an open-source MCP gateway
Lasso Security
Deployment effortMediumA commercial AI security platform, and an open-source plugin-based MCP gateway that sits in front of other MCP servers.
Deployment: Open-source gateway (MIT) plus commercial platform.
- VisibilityStrongPlatform discovers and risk-scores MCP servers across Claude, Cursor, Windsurf and custom agents; the open-source gateway sees only its own config.
- AuthenticationPartialPlatform role-based control per user and team; open-source gateway documents no user authentication.
- Credential handlingPartialMasks secrets in responses; vaulting or short-lived credentials not documented.
- Policy depthPartialIntent-aware and natural-language policies in the platform; argument rules not documented.
- Runtime threat detectionStrongScans tool descriptions for hidden instructions, prompt injection and PII; platform monitors tool calls for indirect injection.
- AuditPartialPlatform audit trail with SIEM export; open-source tracing to local files.
- Deployment effortMediumpip or Docker for the gateway; the platform is demo-led.
Best fit
Teams that want to start with an open-source gateway and scanners, and add a platform later.
Not the fit for
A credential broker or agent identity layer.
Prompt guardrails API
Lakera Guard (Check Point AI Guardrails)
Deployment effortMediumAn API that screens content going into a model and its output for prompt attacks, data leakage and harmful content, with agent discovery offered separately.
Deployment: SaaS API, or self-hosted with an Enterprise licence on Kubernetes or Docker.
- VisibilityPartialAgent Discovery connects to Bedrock, Google Cloud, Copilot Studio, Agentforce and others; the guard itself sees only calls sent to it.
- AuthenticationNoneAPI keys for the guard; not an identity or OAuth layer for agents.
- Credential handlingPartialDetects sensitive data leaking; holds no credentials for agents.
- Policy depthPartialPolicies per project in detect or enforce mode; tool allow and deny lists at call time.
- Runtime threat detectionStrongDirect and indirect prompt attacks including poisoned tool responses, data leakage, malicious links.
- AuditPartialGuard logs and analytics; detections exportable to a SIEM.
- Deployment effortMediumYour application or gateway calls the API on each interaction.
Best fit
Teams building their own LLM applications that need an inline prompt-attack classifier.
Not the fit for
An MCP gateway: something else has to put it in the call path.
Not scored
Prompt Security (SentinelOne). Its product pages now sit on SentinelOne's site and did not describe these controls in a form we could cite. Check its current documentation at prompt.security/.