Solutions

Security for the AI you already run.

The problems Vekri solves today, and the products that solve them.

AI coding agent security
Let engineers use AI coding agents on real systems, with governed access.
Find the coding agents on your workstations, see what they do, decide the MCP calls they make on the laptop, and give them governed access to repositories and infrastructure through Vekri Gateway.
Workforce AI governance
Know how your organization uses AI, and set the rules.
An inventory of the AI applications and MCP servers in use, usage broken down by team and use case, approval status and risk for each application, and policies that act where Vekri has a control point, with privacy built in.
Enterprise MCP security
One policy for the MCP servers you approve.
Approve MCP servers as managed profiles, decide every tool call to them on the workstation or at Vekri Gateway, inspect results for prompt injection, keep credentials in a broker, and prove coverage with evidence.

Private infrastructure security

Let agents operate Kubernetes and GitHub through a broker that holds narrowly scoped credentials, inside your own network.

Kubernetes operations limited to allowed namespaces and typed actions.
GitHub operations limited to allowed repositories, executed with a GitHub App held by the broker.
Self-hosted in your cluster, with network policy that leaves the gateway as the only path.

Tie agent access to people provisioned from your directory, their groups and, where you require it, their verified devices.

Users and groups provisioned with SCIM 2.0; access follows group membership on every call.
Organization roles mapped from directory groups by stable id, never by display name.
Optional requirement of a verified binding between the employee and the device.

Contact Sales

Talk to us about the AI your organization uses, the systems agents reach and how you deploy: in Vekri's cloud, or inside your own Kubernetes cluster.