Vekri Protect
Set the rules for employees' AI, and enforce them.
Vekri Protect connects employees' agents to enterprise services through Vekri Gateway with company SSO, approves MCP servers as managed profiles for the local MCP gateway, and applies AI usage and prompt-injection policies, with coverage that shows what the evidence proves.
Say yes to AI agents
Give engineers agent access to real systems with the same controls as any privileged access.
No shared credentials
Employees never handle service credentials; the broker does, per call.
Proof, not configuration
Coverage reports what was verified for each service and resource path, and what stays outside it.
See it work
Vekri Protect, step by step.
1 · Discover
ws-dev-07 · Claude Code
Protected: verified for this service
2 · Configure
GitHub for Engineering
Read acme/payments-api · comment with approval · 30 days
Erin signed in with SSO
Confirmed Claude Code may use this service
+ mcp server vekri-github
3 · Verify
4 · Enforce
What happens
Scope
What it does not claim.
The platform
Works with the rest of Vekri.
- Protect
Vekri Gateway
Runtime authorization for every agent tool call.
Learn more - Discover
Vekri Endpoint
AI application discovery, MCP gateways and agent control on workstations.
Learn more - Investigate
Vekri Observe
AI usage, findings and investigations with evidence you can trust.
Learn more - Operate
Vekri Control
One console for AI applications, policy, approvals and evidence.
Learn more
Capabilities that use Vekri Protect
Contact Sales
See Vekri with your own AI applications, agents and systems.
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.