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.
What you can answer
The questions, and how Vekri answers them.
Which servers are approved?
Profiles name the server, the clients, and the tools allowed, needing approval or denied, for which resources.
- Managed local MCP profiles
- MCP client and server inventory
Is each call allowed?
Cedar policy decides every call sent through Vekri, denies by default, and holds privileged writes for a person to approve the exact operation.
- Cedar policy, deny by default
- Exact-operation approvals
- Local MCP gateway
- OAuth-protected MCP gateway
Can a result be trusted?
Tool results are inspected for injected instructions before the agent reads them, under your policy.
- Prompt-injection detection on Vekri Gateway
- Prompt-injection detection on the local MCP gateway
- Prompt-injection policy
Can we prove it?
Coverage is verified only from evidence, and every decision, approval and outcome is recorded.
- Protection coverage from evidence
- Durable audit evidence
- Prompt-injection findings
Capabilities
Go deeper.
MCP security
Decide every MCP tool call that runs through Vekri, on the laptop and in the cluster.
Prompt injection protection
Catch instructions hidden in tool results before the agent reads them.
Identity and device security
Tie every agent action that passes through Vekri to a verified person or workload.
Products
The parts of Vekri involved.
- Protect
Vekri Gateway
Runtime authorization for every agent tool call.
Learn more - Protect
Vekri Protect
Policies and governed access for employees' AI.
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
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.