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How to check your AI agent program against 35 controls with Agentbaseline

Use the six outcomes and 35 controls to find gaps in how your company runs agents.

Who it is forA CISO asked whether the company is ready to deploy agents widely.

The problemAgent risk does not map neatly to product categories.

The outcomeA gap list against outcome-based controls.

What you need first

  • Python 3 to build the figures

Steps

  1. Read the six outcomes starting with Discover
  2. Open whitepaper/controls.yaml
  3. Mark each control as met, partial or missing
  4. Prioritize missing controls

Prompt for your agent

Using agentbaseline/agentbaseline whitepaper/controls.yaml, build a gap table for <organization> with each control id, title and status. Cite control ids exactly.

Caveat. It is v1.0-draft, not a standard, and identifiers are not frozen until v1.0.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for agentbaseline/agentbaseline and "Check your AI agent program against 35 controls"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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