No rip-and-replace. Cranium ONE plugs into your repositories, model providers, cloud and SIEM — and turns all of it into one continuous AI Trust Loop.
How Cranium ONE discovers, observes, governs, secures and proves AI on each of them.
Find Bedrock in your code, inspect every prompt at runtime, and connect with an IAM role instead of keys.
Explore Amazon BedrockMap OpenAI across code and agents, see who uses it, and govern every prompt and response.
Explore OpenAIGovern Claude at runtime and scan agent instruction files like CLAUDE.md before your assistant obeys them.
Explore Anthropic ClaudeCloudSensor for your Azure tenant plus Azure DevOps scanning, in one living inventory.
Explore Microsoft AzureFrom the repository to the runtime to the board report — each connection feeds a stage of the AI Trust Loop.
Discovery finds every repository, Detection finds the AI inside, and CodeSensor builds the AI Bill of Materials — models, datasets, technologies, infrastructure and static system prompts. Scan weekly, monthly or on every push.
AgentSensor maps each agentic system in your code — every agent’s model, instructions, tools, handoffs, guardrails and MCP servers — with an interactive graph of how they connect.
Guardian inspects every prompt and response between your app and the model. Listen in parallel, or Enforce in line to block, modify or pass — by the profile you set.
CloudSensor discovers the AI models and resources in your Azure tenant, surfaces security alerts and unauthorized changes, and assesses who has access.
Stream Cranium alerts into your SIEM so AI activity sits beside the rest of your monitoring. Shadow AI reads it back to show which AI services people use, who uses them and how much data moves.
The free Adversarial Inputs Detector scans agent instruction files — CLAUDE.md, AGENTS.md, .cursor, .windsurf, .github — for malicious instructions before Cursor, Windsurf, GitHub Copilot or Claude obey them.
Your inventory, findings and evidence don’t stay locked in our console. Pipe them to your data warehouse, ITSM or reporting with the Public API, and export in open standards.
We’ll connect a repository and a model live and show you the AI Trust Loop running on what you already have.
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