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Runlayer for IT & Security

Enable and secure AI

Give teams a golden path to AI usage, with security and governance built in.

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Decagon
Lemonade
Gusto
Opendoor
PagerDuty
dbt Labs
Jane

Workarounds spread when the golden path is too slow

Developers and power users are already connecting AI clients to code, tickets, data, and internal systems. Give them a golden path that is easier than local setup and easier for security to govern.

Shadow detection

Uncover shadow usage

Find unmanaged MCPs, skills, plugins, and client configs across managed devices through your existing MDM, without employee opt-in.

Shadow AI

Access control

Govern users and agents

Control what users and agents can reach by identity, OAuth grant, client, tool, system, and runtime context, with usage and spend visible.

Agent IAM & Governance

Runtime security

Secure sensitive actions

Security models scan requests to tools, outputs, intent signals, and sensitive data at runtime before risky actions reach company systems.

Runtime Security

Usage & audit

Track usage and ROI

Monitor adoption, spend, security findings, shadow usage, agent activity, and audit history in one place.

ROI & Observability

Move shadow usage onto the golden path

Find unmanaged AI setups, approve the useful patterns, and keep risky usage from becoming the default.

Find unmanaged setups

Discover unmanaged MCPs, skills, plugins, and client configs across managed devices.

Approve useful patterns

Publish useful capabilities with identity, policy, runtime security, and audit attached.

Block high-risk cases

Block risky actions or unapproved configurations while approved access stays available.

Frequently asked questions

Shadow AI runs through existing MDM deployment, so IT & Security can find unmanaged MCPs, skills, plugins, and client configs across managed devices.