Question 1

What is Agent SSO?

Accepted Answer

Agent SSO uses Cross-App Access (XAA) to exchange an authenticated agent identity and delegated authority for short-lived access to a supported downstream target. The agent does not need a shared human login or permanent credential.

Question 2

Why does every AI agent need its own identity?

Accepted Answer

A distinct identity lets policy determine which agent is acting, on whose behalf, with which permissions, and against which target. It also makes access review, revocation, investigation, and attribution possible.

Question 3

How is Agent SSO different from storing an API key or secret?

Accepted Answer

A stored secret remains a credential that must be protected and rotated. Agent SSO exchanges authenticated identity and approved scope for a short-lived token where Cross-App Access is supported.

Question 4

What is AI agent runtime security?

Accepted Answer

AI agent runtime security evaluates what an agent does while it runs. A decision point can allow, hold, or block a tool call and record the identity, requested action, target, policy result, and outcome.

Question 5

How does C1 authorize an AI agent tool call?

Accepted Answer

C1 can evaluate the agent identity, delegated human or workload, requested tool, target resource, parameters, scope, and policy when a supported action is attempted rather than relying only on access granted at session start.

Question 6

How does runtime governance apply to MCP servers?

Accepted Answer

C1 MCP Gateway can authenticate supported MCP clients, apply identity-aware policy to tool access, and record governed calls. Coverage depends on the MCP server, client, authentication method, and configured C1 path.

Question 7

How can runtime controls reduce prompt injection and data exfiltration risk?

Accepted Answer

Runtime policy can limit available tools and targets, inspect supported calls, block out-of-scope actions, and redact or hold sensitive output. These controls reduce impact even when an agent receives untrusted instructions.

Question 8

What happens when an AI agent requests a risky action?

Accepted Answer

Policy can block a prohibited request or hold a sensitive change for human approval. The action proceeds only after the required decision is made and remains bound to the approved scope.

Question 9

Does C1 work with existing AI agent frameworks?

Accepted Answer

Yes. The existing framework continues to run the agent. C1 supplies identity, delegated access, credential, and policy controls through supported MCP, gateway, connector, and API paths.

Question 10

Can security teams see what an AI agent can access?

Accepted Answer

C1 can map a supported agent to its accounts, roles, resources, permissions, credentials, and temporary grants. That identity graph helps teams understand access paths and potential blast radius.

Question 11

What audit evidence does C1 retain for agent activity?

Accepted Answer

Governed actions can retain the agent identity, delegated owner, requested tool and target, policy decision, approval when required, action parameters, and returned result.

Agent SSO & Runtime Governance

How we govern agents, what they can access, and enforce runtime security?

Enforce agent runtime guardrails, access controls, and bring human in the loop when necessary.

Replace shared logins with Agent SSO

Authorize every tool call

Enforce runtime guardrails

See what each agent can reach

Route risky actions for response

The C1.ai products you'll use:

Give every agent a sign-in path and every action a policy decision.

FAQs

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