Governance You Can Prove. AI You Can Trust.

AI governance refers to the systems, processes, and frameworks that ensure AI technologies are developed and deployed in a trusted manner. It focuses on risk assessment, transparency, and accountability, especially as organizations scale the use of large language models (LLMs), agentic AI, and open-source tools.

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Credo AI automates risk assessment across your entire AI ecosystem, including large language models (LLMs) and generative AI models. It provides real-time dashboards that identify potential compliance gaps, data risks, and ethical concerns before deployment.

Yes, Credo AI supports open source and commercial AI technologies, ensuring consistent governance and compliance across both. It helps organizations track model lineage, manage licenses, and document fine-tuning processes. Whether you’re customizing an open-source LLM or using proprietary agentic AI, Credo AI provides unified oversight that scales with your operations.

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Fine-tuning allows organizations to customize large language models (LLMs) using domain-specific training data and proprietary datasets. However, this process can introduce new risks such as data leakage, bias, or compliance violations. Credo AI provides visibility into the fine-tuning lifecycle, helping teams assess model changes, validate data sources, and document results for audit and regulatory review.

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Absolutely. While Credo AI enables long-term AI governance maturity, it also delivers short-term wins through rapid risk assessments, AI inventory setup, and policy automation. Enterprises can start small, governing a few AI technologies or pilot LLMs, and scale governance across teams and systems as needs grow. 

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