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Confident AI
Where AI Quality is Standardized. Not Improvised.
- Software Development
About Confident AI
Standardize how different teams turn live traces into test cases, validate with evals, and catch vulnerabilities before they ship.
What Cakewalk Does With Confident AI
Govern who on your team and which agents can access Confident AI as code moves from commit to production. AI agents can act inside Confident AI with the permissions of the person who asked. Cakewalk checks each call against policy, holds risky actions for approval and writes an audit record for every one.
Integration Capabilities
A Connection lets an AI agent act in Confident AI through Cakewalk instead of with its own API key. The agent operates with the permissions of the person who made the request, only for the duration of that task. Every call is checked against policy and written to the audit log.
Use Cases
| Use Case | Description |
|---|---|
| Let an Agent Handle Confident AI TasksAgent Connection | A person asks their agent to do something in Confident AI, like find a record, update a field or pull a report. The agent does it through Cakewalk with that person's own access, not a shared key. |
| Every Action Checked and LoggedAgent Connection | Every agent action in Confident AI is checked against your access rules and written to the audit log. Safe actions go through, risky ones wait for approval or are blocked. |
MCP Servers (1)
- Confident AI
https://mcp.confident-ai.com/mcpHTTPOAuth