CredoAI Inc., the artificial intelligence governance software startup, said today it’s making its new Integrations Hub generally available.
The company says it now becomes simple for enterprises to connect their AI systems and applications to Credo AI’s specialized platform that helps to automate risk and oversight management. The startup, which made headlines in late July when it closed on a $21 million round of funding, is on a mission to help companies adopt AI responsibly through its automated governance platform, which helps to ensure models are compliant with key regulations such as the EU’s AI Act, NIST and ISO.
Credo AI’s software provides organizations a simple window through which they can monitor the compliance of all of their AI initiatives. It’s designed to address both the manner of the data their AI models collect, and suggest controls that can be integrated to develop stronger guardrails that ensure they don’t go “off the rails.”
What’s unusual about Credo AI’s governance platform is that it doesn’t offer a one-size-fits-all approach, because it understands that every company and organization has different priorities when it comes to security and compliance. The startup therefore works with each of its customers to help understand what their values and priorities are in terms of AI, so it can better understand which tools they need to ensure their AI projects align with those goals.
With today’s launch of the Credo AI Integrations Hub, the startup is giving enterprises a simple way to integrate its governance automation tools with popular AI development tools such as Amazon SageMaker, Amazon Bedrock, MLFlow, Microsoft Azure Machine Learning, Weights & Biases, Hugging Face and Collibra, plus business platforms like Jira, ServiceNow, Salesforce, Microsoft Dynamics 365, Databricks and Asana.
Credo AI makes it possible to bring all of the AI initiatives on the above platforms into a centralized governance platform where policies and compliance can easily be enforced across each of them. It helps to ensure that nothing on any of those platforms gets overlooked, with only the relevant data flowing into the governance processes.
In doing this, Credo AI says it eliminates the burden of governance on data science and engineering teams by automating compliance checks for all of their AI models, enabling them to focus on the actual capabilities of their AI, rather than worrying about the risks.
To customize their governance processes, customers can upload and categorize all of the documentation they require to prove their AI systems are meeting whatever safety, security, fairness and regulatory requirements they need to abide by. The platform can also connect to the underlying datasets that power each model, so that these adhere to the same requirements, the company said.
As another advantage, Credo AI’s Integrations Hub also makes it simple to generate documentation that demonstrates how customer’s AI systems are meeting specific governance requirements.
Credo AI founder and Chief Executive Navrina Singh said the Integrations Hub is the industry’s first specialized AI governance tool that’s able to integrate with existing business and AI platforms. “It enables companies to embed responsible AI governance as a core part of their operations,” she said. “Not as an afterthought, but as a business imperative.”
Singh said she believes there are good reasons for companies to want to simplify AI governance. The company recently commissioned a survey by International Data Corp. that shows how more than 500 global executives believe responsible practices are key to helping boost metrics such as revenue, customer satisfaction, profitability and shareholder value through AI. In addition, it points to independent research from McKinsey Co., which shows how 91% of organizations feel “ill-prepared” to navigate the challenges of generative AI.
Though the companies in the above surveys all have dedicated governance, risk management and compliance tools in place, they fear that these are not practical for AI use cases, since they were primarily designed for legacy software and applications. What’s needed, Singh believes, is off-the-shelf governance tooling that’s specifically geared to AI technologies.
“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 CEO said.