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Real-Time Adverse News

Uncover critical insights for AML and KYC comnpliance with our AI-enabled adverse media data.

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Real-Time Updates

Receive updates on Adverse Media mentions not in hours, but within minutes, helping you stay proactive.

Global Coverage

Monitor more than 230 000 news sources with 3,5 million daily articles from publications around the world.

FATF-algined Machine Learning

Ensure high relevance with FATF aligned categorizations through highly specialized Machine Learning models.


Adverse Media Screening Use Cases

Comprehensive customer onboarding

Integrating rapid name screening and media analysis to enhance security and compliance.

Enhance your customer onboarding with rapid and focused name screening processes, integrated with comprehensive adverse media checks. This combined approach not only identifies AML risks swiftly but also scans for any negative media associations, providing a holistic view of potential clients. By identifying and mitigating risks early, you ensure a secure and compliant onboarding experience that upholds your organization's integrity and protects against financial and reputational threats.

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Adverse Media Screening Use Cases

"The adverse media screening tool has been a game-changer for our compliance team. It saved us countless hours by automating the screening process and ensuring we remained compliant with stringent global regulations. Additionally, the seamless integration with our existing systems and the exceptional customer support provided by the team have made this tool an indispensable part of our compliance infrastructure."

Emily Clarke
Senior Compliance Officer, Bank (England)

dilisense (categories)FATF (designated categories of offences)
Terrorism
  • Terrorism
  • Terrorist financing
Financial crime
  • Fraud
  • Piracy
  • Forgery
  • Counterfeiting currency
  • Counterfeiting and piracy of products
  • Insider trading and market manipulation
  • Tax crimes (related to direct taxes and indirect taxes)
  • Smuggling (including in relation to customs and excise duties and taxes)
  • Environmental crime (for example, criminal harvesting, extraction or trafficking of protected species of wild fauna and flora, precious metals and stones, other natural resources, or waste)
Organized crime
  • Extortion
  • Illicit arms trafficking
  • Corruption and bribery
  • Illicit trafficking in stolen and other goods
  • Trafficking in human beings and migrant smuggling
  • Participation in an organised criminal group and racketeering
  • Illicit trafficking in narcotic drugs and psychotropic substances
Violent crime
  • Robbery or theft
  • Murder, grievous bodily injury
  • Kidnapping, illegal restraint and hostage-taking
Political
  • Not a designated FATF category
  • Includes political affiliations and roles critical for comprehensive AML monitoring.
Regulatory
  • Not a designated FATF category
  • Encompasses regulatory compliance aspects essential for effective AML practices.

Ensuring Compliance with FATF Standards

Ensuring robust Anti-Money Laundering (AML) practices is paramount in safeguarding financial systems against illicit activities. At dilisense, we are committed to upholding the highest standards of financial integrity by meticulously aligning our categorization of offenses with the guidelines set forth by the Financial Action Task Force (FATF). The FATF is an intergovernmental organization established to develop policies to combat money laundering and terrorist financing globally.

Expanding AML Risk Management Framework

The table serves as concrete evidence of our compliance strategy, illustrating how each dilisense-defined category corresponds to FATF's designated categories of offenses. While FATF outlines critical areas such as terrorism, financial crime, organized crime, and violent crime, dilisense extends this framework by incorporating additional classifications like 'political' and 'regulatory'. These supplementary categories are integral to our AML framework, enabling us to address a broader spectrum of data application, enhancing our precision and effectiveness.

Enhancing PEP Data with Media Insights

Our platform enables comprehensive media data to enhance Politically Exposed Person (PEP) profiles, providing deeper insights into their activities and risk levels. By integrating media sources, we are able to assign activity scores based on recent engagements, analyze images for verification purposes, and incorporate contextual information from news articles and social media. Additionally, our advanced algorithms ensure that the media data is continuously updated and relevant, enabling your compliance team to make informed, proactive decisions in managing PEP-related risks effectively.

Read the full FATF Recommendations of International standards on combating money laundering and the financing of terrorism & proliferation:
FATF Recommendations


Adverse Media Screening Use Cases

Unlock superior Adverse Media screening

Enhance your customer onboarding with our advanced adverse media screening data

Gain access to more negative news coverage than leading suppliers, ensuring comprehensive risk identification. Our platform is engineered for high-volume, enterprise-level operations, providing enhanced categorization and matching with expert-curated profiles. Transform your risk management with precise entity resolution, seamless API integrations, and a unified risk view for accelerated remediations. Eliminate irrelevant hits with contextualized data, enabling swift and informed decisions. Choose dilisense for unparalleled data volume, scalability, and cutting-edge technology.

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Adverse Media Screening Use Cases

Frequently asked questions

Our adverse media data encompasses a wide range of reputable sources, including international and local news outlets, government publications, regulatory filings, social media platforms, and specialized financial journals. This comprehensive coverage ensures that we capture relevant and up-to-date information across various regions and industries to effectively identify potential risks.

Yes, we offer global adverse media checks that cover multiple regions and languages. Our extensive network of international sources allows us to monitor and analyze media content from around the world, ensuring that no critical information is missed. This global approach enables organizations to maintain comprehensive oversight and manage risks effectively across all their international operations.

Our adverse media data is refreshed in real-time, with continuous monitoring and updates throughout the day. This ensures that our clients have access to the most current and relevant information, allowing them to respond promptly to any emerging risks or changes in the media landscape.

We meticulously select our media sources based on their credibility, reliability, and relevance to financial and regulatory landscapes. Our selection criteria include the authority of the publication, editorial standards, frequency of updates, and geographical coverage. Additionally, we continuously review and update our source list to incorporate emerging media outlets and ensure comprehensive coverage of all critical information channels.

Named Entity Recognition (NER) is a crucial component of our natural language processing (NLP) technology that identifies and categorizes predefined entities such as names, organizations, locations, and dates within a body of text. By leveraging NER, our adverse media screening tool can accurately extract relevant information from vast amounts of unstructured data. This enhances the efficiency and effectiveness of your compliance processes by reducing false positives and ensuring that critical information is not overlooked.

Yes, we offer a free trial of our adverse media screening tool to allow you to experience its capabilities firsthand. To sign up for the free trial, please contact our sales team at sales@dilisense.com.

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Enhance your AML compliance and protect your organization with dilisense`s cutting-edge adverse media screening tools. Request a demo today or start your free trial to experience our comprehensive solutions firsthand.
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