Credo AI, the global pioneer of the AI governance category and leader in AI governance software, announced the general availability of its Integrations Hub, allowing all stakeholders at an enterprise to connect Credo AI with their preferred AI Ops and Business software tools to seamlessly govern AI throughout its lifecycle across the organization.
A survey by IDC and Credo AI revealed that more than 500 global executives believe that Responsible AI governance practices will help to boost metrics across revenue, customer satisfaction, profitability, and shareholder value. More recently, McKinsey’s research showed that 63% of organizations view the implementation of generative AI as a top priority, yet 91% of them feel ill-prepared to navigate its challenges responsibly. All of these enterprises are using Governance, Risk Management and Compliance (GRC) tools, but none of the leading offerings address the complicated world of AI governance. With Credo AI’s Integrations Hub, enterprises can now easily implement off-the-shelf AI governance tooling across the entire organization by layering it into their existing technology stack.
“At Credo AI, we are dedicated to empowering enterprises with comprehensive AI governance throughout the entire AI lifecycle,” said Navrina Singh, CEO and Founder of Credo AI. “AI’s rapid evolution means organizations need governance solutions that not only ensure accountability, but also maximize the ROI on their AI and LLM investments. The Integrations Hub delivers on this need by providing deep, purpose-built governance capabilities that go beyond the limitations of traditional GRC tools, which lack AI-specific expertise. This is the first capability designed to integrate seamlessly with existing business and AI systems, enabling companies to embed Responsible AI governance as a core part of their operations—not as an afterthought, but as a business imperative.”
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The integrations that will be available within the Integrations Hub include Jira, ServiceNow, Amazon SageMaker, Salesforce, MLFlow, Asana, Amazon Bedrock, Databricks, Microsoft Dynamics 365, Microsoft Azure Machine Learning, Weights & Biases, Hugging Face, and Collibra. With these integrations, technical and non-technical stakeholders across an organization have the ability to:
- Bring all their AI use cases into a centralized governance platform without the hassle of data entry, ensuring that nothing gets overlooked and only relevant data is flowing into the governance process.
- Eliminate the burden of governance on their engineering and data science teams by directly integrating with existing model stores. Whether they are using Amazon Sagemaker, Databricks, or MLFlow, models can be automatically uploaded to Credo AI for compliance checks. This reduces friction and allows engineers to focus on innovating while non-technical stakeholders ensure models are safe, fair, and aligned with both global and internal standards.
- Seamlessly upload and categorize crucial documentation that prove the AI systems are meeting safety, security, fairness and regulatory requirements, reducing unnecessary workloads while ensuring full compliance.
- Master data governance with Credo AI’s dataset integration, with easy connection to dataset registries so enterprises can govern their datasets in addition to their models.
- Easily generate AI governance artifacts, in compliance with regulations and standards including the EU AI Act and ISO 42001. The Integrations Hub can pull evidence from engineering and GRC tools like Jira or ServiceNow and generate documentation that showcases how your AI systems meet specific governance requirements.
Leading enterprises including Mastercard, Northrop Grumman, Ruffalo Noel Levitz, Booz Allen Hamilton, Databricks, and McKinsey partner with Credo AI to provide both technical (AI, Data Science) and non-technical (Risk, Compliance, Privacy, Governance) stakeholders the ability to manage, monitor and measure AI risk and compliance.
SOURCE: BusinessWire