Streamline customer or supplier screening and compliance workflows with intelligent, automated solutions from Moody’s.
Leverage the power of artificial intelligence (AI) and machine learning to help support the identification and management of third-party risks more efficiently.
Whether onboarding a new third party or monitoring an existing business relationship, Moody's solutions help teams focus on risk management activities and broader business priorities by:
For more information or to see intelligent screening in action, please get in touch with the team any time.
Moody’s Maxsight™ supports screening activities by helping to provide structured signals from selected unstructured data sources.
It can help organize and contextualize adverse media, regulatory filings, and public records into structured outputs that support risk assessment processes across business relationships.
Maxsight™ supports analysis and review by combining AI-supported techniques with Moody’s datasets.
Starting with your organization’s risk appetite and regulatory context, Moody’s screening solutions can be configured to align with defined compliance requirements, supporting consistent application of screening criteria across business relationships.
Map your current processes to help identify potential gaps where risks may not be consistently identified, and highlight opportunities to improve process alignment.
As part of your digital transformation journey, Moody’s solutions can support the application of AI-assisted controls and procedures, with the flexibility to adapt as policies, data sources, or regulatory expectations change.
Identify entities that appear on sanctions and watchlists, including those associated through ownership or control relationships.
Extend screening beyond individual lists by incorporating data sourced from national registers and government authorities.
Combine this information with records of individuals and organizations linked to sanctioned entities and apply it within ongoing monitoring and review workflows, supporting consistent review of potential sanctions exposure.
Screening for shell company-related risks is increasingly reflected in regulatory guidance. Moody's shell company indicator is designed to support screening and review activities as part of a broader risk-based approach.
Identify characteristics commonly associated with higher risk corporate structures within a counterparty network, to support informed consideration of business relationships.
Apply shell company indicators within screening processes to support enhanced due diligence and risk based assessment practices, in accordance with internal policies.
Identify adverse media that may be relevant to your organization using curated negative news content.
Moody's adverse media database tracks media coverage across different risk stages, from allegation through legal resolution, based on defined classification criteria.
Apply configured filters such as risk category, stage, and relevance indicators to support focused review. Analyst reviewed data and AI assisted techniques help support consistency and reduce review burden, including helping to reduce false positives.
Moody’s global politically exposed persons (PEPs) dataset classifies PEPs using a risk rating framework that considers country, role, seniority, and event related factors.
The dataset is updated on an ongoing basis, helping teams stay informed of relevant changes within a counterparty network
Hudson Martin, Associate Director of Product Management at Moody’s, explores how machine learning techniques are applied within screening workflows. Learn how culture aware name matching, structured risk tagging, and models designed to reflect defined policy logic can support consistency within compliance review processes.
Mike Xu, Director of Data Strategy at Moody’s, shares perspectives on the application of generative AI within screening and ongoing monitoring frameworks. Learn how AI can support model governance practices, data structuring, and process transparency, while maintaining appropriate oversight.
Colleen Dychdala, Associate Director of Data Operations at Moody’s, explains how screening processes can incorporate curated data signals to build more detailed risk profiles. AI assisted negative news screening and structured data ingestion help support review and monitoring activities over time.
Screening has evolved from manual name checks to more data‑driven and technology‑supported approaches. As regulatory expectations and risk factors continue to change, machine learning (ML) and generative AI (GenAI) are increasingly being applied within compliance programs.
In this episode of Risk Reframed, Moody’s product specialists Mike Xu and Victor Cotillon join host Alex Pillow to discuss:
FATF's Recommendation 16 requires that providers of cross-border payment services (PSPs) include complete originator and beneficiary information in wire transfers. This is necessary to permit detection of the use of wire transfers by criminals or terrorists moving money.
In today's fast-paced and ever-expanding digital news landscape, the need for effective negative news screening (sometimes known as adverse media screening) in customer and supplier due diligence processes as well as ongoing risk monitoring can’t be overstated.
Shell companies can be used by criminals to conceal offenses such as fraud, tax crime, money laundering, and sanctions evasion, all of which pose a threat to the global economy. Against this background, there are significant moves from governments and the private sector to create more corporate transparency.
GenAI has demonstrated the effectiveness of a conversation-based paradigm for human learning and understanding in assisted writing and coding, creating diet plans, booking travel itineraries, and so on. And KYC processes can similarly benefit from GenAI chat-based workflows - providing a natural, human-friendly user experience.
Moody’s is not a consumer reporting agency and none of its services or the data contained therein constitute a “consumer report” as such term is defined in the Federal Fair Credit Reporting Act (FCRA), 15 U.S.C. sec. 1681 et seq. The data may not be used as a factor in consumer debt collection decisioning; establishing a consumer’s eligibility for credit, insurance, employment, government benefits, or housing; or for any other purpose authorized under the FCRA. By accessing one of our services or receiving our data, you agree not to use the service or data for any purpose authorized under the FCRA or in relation to taking an adverse action relating to a consumer application.
Discover the flexibility of Moody’s customizable screening solutions—designed to save time while helping organizations effectively manage risk and compliance.
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