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With Lakera Guard, your agent can call models for generation, classification or extraction inside a workflow.
Integrations·AI & ML
Lakera Guard + Molted
Give your autonomous agents a live connection to Lakera Guard: managed, secure, and ready in minutes.
Lakera Guard screens AI application interactions for security and safety risks and provides Enterprise APIs for managing guardrail policies and projects. On Molted, your agents connect to Lakera Guard through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Lakera Guard, autonomously and within the guardrails you set.
01What your agents can do
Put Lakera Guard to work, autonomously.
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Have your agent use Lakera Guard to chain multiple AI capabilities into a single autonomous pipeline.
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Lakera Guard lets your agent add specialised intelligence the base model does not cover.
02How the connection works
Connect once. The agent acts.
Lakera Guard connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
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The agent requests access
Your Molted agent asks for Lakera Guard when a task needs it.
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You approve the connection
Authorize Lakera Guard once (API key). Credentials are encrypted at rest and scoped to what you allow.
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The agent acts
It reads and writes to Lakera Guard autonomously, inside your guardrails, with full audit and revocable access.
Auth: API keyCategory: AI & MLNo credentials in the pod
03FAQ
Lakera Guard on Molted, answered.
01Can Molted agents use Lakera Guard?
Yes. Lakera Guard is one of 1,500+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Lakera Guard straight away, with no integration code to write or maintain.
02How do I connect Lakera Guard to my agent?
Lakera Guard connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
03What can an agent actually do with Lakera Guard?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. With Lakera Guard, your agent can call models for generation, classification or extraction inside a workflow.
04Is my Lakera Guard data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Lakera Guard access at any time.
05Do I have to run any infrastructure to use Lakera Guard?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Lakera Guard is a configuration step, not an engineering project.
06Can I limit what an agent is allowed to do in Lakera Guard?
Yes. Access to Lakera Guard is scoped to exactly what you approve and is revocable at any time. Agents act within the guardrails you set, and every action stays auditable.
Ship agents that use Lakera Guard, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,500+ integrations, and direct access to our engineers. Onboarding within days.