Dun & Bradstreet Integrates Risk Data into Anthropic’s Claude for Automated Compliance Workflows

May 05, 2026
Dun & Bradstreet announced a collaboration with Anthropic to integrate its Commercial Graph into Claude via the Model Context Protocol, enabling businesses to automate onboarding and compliance workflows using verified risk data.

Dun & Bradstreet announced a collaboration with Anthropic to integrate its verified business data directly into Claude AI through the Model Context Protocol server, according to a press release. The integration allows businesses to automate onboarding and compliance workflows by embedding D&B’s Commercial Graph data within Claude.

Through this setup, clients can create customized know-your-customer and know-your-business workflows inside Claude. The system uses verified commercial identity data anchored in the D-U-N-S Number to automatically verify ownership, assess risk profiles, and generate audit documentation.

The integration enables users to securely access D&B’s Commercial Graph to verify business identities, evaluate exposure across supplier networks, and automate documentation for risk-based decisions. By combining Anthropic’s conversational AI with Dun & Bradstreet’s validated data, organizations can streamline onboarding while maintaining compliance and governance standards.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more