Introducing Generative AI Vendor Registry: Driving AI Vendor Transparency To Scale GenAI Adoption

The momentum of generative AI in the enterprise continues at a breakneck pace—yet the threat of real GenAI risks is causing some whiplash among Fortune 500 companies.

According to an Arize report of SEC filings, the number citing AI as a risk factor has soared 473.5% in 2024 (a total of 281 companies). This risk assessment has had a sobering effect on markets.

But there is a silver lining: with proper AI risk management, enterprises can stream full-speed ahead with generative AI adoption. However, as the AI ecosystem develops, there is a headache-inducing matrix of governance needed for AI foundational models, model versions, downstream applications, and the contexts these applications are deployed in.

Today, Credo AI is proud to introduce a new baseline for generative AI risk management, centering on the highest upstream AI provider: the most common vendors like OpenAI, Anthropic, or Databricks.

Introducing GenAI Vendor Registry

Governing AI at the vendor level enables governance teams to green light entire vendors and scale usage of their models and applications.

Vendor Registry allows your AI governance  team to:

• Track and manage your information about vendors in a secure and single source of truth
• Access pre-populated RAI insights about 3rd party GenAI tools
• Credo AI empowers custom workflows for 3rd party AI screening, review & approval, so you can empower your organization to adopt GenAI quickly and safely.

Here’s how the GenAI Vendor Registry works: if your company wants to use a particular vendor, such as OpenAI and its underlying model, GPT-4o, a Transparency Report will pre-populate relevant information related to risk, compliance, and Responsible AI benchmarks like fairness and bias. This allows companies to streamline additional use cases with that vendor, making your GenAI adoption fast and scalable—while equipping your team with up-to-date, vendor-specific knowledge as the GenAI ecosystem continues to quickly evolve.

Contextual AI Governance at the Use Case, Model—and now Vendor Level

The Credo AI Governance Platform allows organizations to achieve contextual AI governance, or governance specific to the industry, use case, and context AI is deployed in. Emerging standards like ISO 42001 call specifically for this kind of Artificial Intelligence Management System (AIMS).

Additionally, Credo AI powers governance at the model and use-case level as well, enabled by the pre-existing Credo AI features:

• Governing AI at the model level: The Model Registry allows you to test specific model outputs against Responsible AI benchmarks like bias and fairness
• Governing AI at the use case level: The AI Registry is your source of truth for AI use cases at your company, allowing use-case specific governance with streamlined intake, and automatic risk scenarios and controls recommendations. 
  

Track and Meet AI Transparency Requirements for Generative AI

AI transparency, explainability, and literacy are core components of modern AI management — and compliance requirements, according to regulation like the EU’s AI Act. 

The EU AI Act requires transparency at every stage of an AI system being deployed; from use awareness when interacting with a chatbot; to registering high risk AI in public databases; to making AI systems human-readable.

The GenAI Vendor Registry allows enterprises to centralize information on specific vendors, and display these risks in dashboards for stakeholders like executives, partners, or even auditors. By surfacing the Responsible AI metrics around specific vendors, AI governance teams can quickly make go or no-go decisions on using a specific vendor for a particular use case. 

If the vendor’s RAI metrics don’t hold up to the risk level or domain of that use case, the AI governance lead can quickly recommend another vendor — ideally one that is pre-approved at the company.

Minimize Shadow AI Usage At Your Company

Vendor-specific governance has quickly become an enterprise need as companies scramble to adopt GenAI while mitigating the risk. According to a Salesforce study, 50% of GenAI usage at work is unapproved. This reality has led to countless (often public) AI pitfalls for companies.

Vendor Registry keeps enterprises in control of GenAI usage organization-wide. Furthermore, it provides the necessary insights mandated by AI literacy and transparency requirements, so AI governance teams can stay on top of what GenAI is being used, for what, and whether it is safe.

Request a demo of the Vendor Registry today, and see streamlined AI governance in action.

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