Dun & Bradstreet

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Turn Risk Analysis into Policy-Led Action with D&B Compliance Intelligence

Go from surfacing risk to taking action without leaving your workflow—powered by AI-driven insights and natural-language interaction for consistent, policy-led decisions.

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See How It Works in Actual Compliance Risk Workflows

AI-Driven Insights That Turn Risk Analysis into Action

Analyse risk, streamline due diligence, and continuously monitor change in a connected workflow. With embedded AI, your team can apply decisions consistently and execute with the context and control required in regulated environments.

Manage Risk Volume Without More Manual Effort

As compliance risk grows, embedded AI and natural-language interaction help you reduce manual reviews, focus on the signals that matter, and keep decisions consistent across workflows.

Identify and Verify Business Partners

Use embedded AI insights to verify entities and initiate screenings, evaluations, tagging, and reporting from a single view—keeping decisions aligned to policy while reducing manual steps and system switching.

Screen Entities and Beneficial Owners

Use embedded AI insights to support KYB and UBO screenings, helping your team evaluate risk signals, make informed partnership decisions, and maintain consistency across every review.

Monitor Ongoing Compliance Risk

Keep up with ongoing risk monitoring, while preserving explainability and traceability as risk decisions accelerate in regulated environments.

Activate Risk Insights Across Systems

Use Model Context Protocol (MCP) to connect D&B Compliance Intelligence to AI agents, so risk insights can be accessed and acted on across systems—not confined to one platform.

Capture Insight from Third Parties

Design and deploy surveys that capture key risk signals from third parties, with automation that supports consistent, ongoing assessments.

Personalised Demo: See It in Action

Request a personalised demo of the latest features in D&B Risk Analytics - Compliance Intelligence. Fill out the form to get started.

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