Skip to main content

Platform overview

One platform to accelerate and control AI usage

Runlayer gives teams a control plane for approved AI usage, a gateway for MCP requests, and the Runlayer Agents runtime for agents created on Runlayer infrastructure.

Decagon
Lemonade
Gusto
Opendoor
PagerDuty
dbt Labs
Jane

How Runlayer works

Runlayer gives employees approved AI capabilities while AI Platform, AI Transformation, and IT & Security control what can be used, who can use it, and what happened.

WORK SURFACES

Runlayer Agents

Background & hosted agents

Clients

Codex, Claude Code, Cursor, etc.

Runlayer
CONTROL PLANE

Shadow AI

Find unsanctioned AI

Observability

Trace every request

Runtime Security

Block threats inline

Real-time Policy

Context-aware access

ROI Visibility

Usage, adoption & cost

TOOLS & SKILLS

MCPs

Model Context Protocol

Skills

Reusable agent skills

APIs

REST & HTTP services

CLIs

Command-line tools

Enablement

Runlayer Agents

On-demand agents running on Runlayer infrastructure. Employees can create agents for recurring work while platform owners keep approved tools, scoped credentials, policy, runtime security, and activity history in place.

Explore on-demand agents

Runlayer Catalog

Reusable skills and plugins teams can publish and share with agents. The catalog gives useful AI capabilities an owner, approval state, dependency context, and usage history.

Explore reusable capabilities

MCP Gateway

Approved MCP access across AI clients and third-party agents. MCP requests route through the gateway so identity, policy, runtime security, and audit stay attached before company systems are reached.

Explore approved tool access

Control

Shadow AI

Shadow AI discovery and response. Watch finds shadow MCPs, skills, plugins, and client configs so teams can migrate, approve, remove, or block the right findings.

Explore shadow detection

Runtime Security

Execution-time security checks for AI tool use. Runtime Security inspects risky tool behavior across the gateway and agentic runtime before sensitive actions continue.

Explore runtime security

Agent IAM & Governance

Actor-aware access control for AI usage. Runlayer evaluates who is acting, which client or agent is involved, what tool or resource is requested, and which conditions apply.

Explore identity and policy

ROI & Observability

Adoption, decisions, findings, and audit history. ROI & Observability shows what teams use, where access is blocked, which findings matter, and what happened during agent activity.

Explore ROI and observability

Built for enterprise security and deployment

The platform fits into the systems enterprises already use to manage identity, devices, infrastructure, and audit evidence. Keep tamper-proof logs, security events, and usage history available for review.

SSO and SCIM

Use existing identity groups for provisioning, policy, and access review.

Policy model

Map access to users, groups, roles, attributes, agent accounts, clients, tools, resources, and runtime conditions.

Self-hosted deployment

Run everything in your own infrastructure.

MDM rollout

Use existing device management to deploy approved client configs, shadow usage detection, and enforcement.