Customer Due Diligence
Automate customer screening and monitoring with AI-powered risk assessments that leverage a comprehensive array of adverse media and watchlists
Graphyte uses a unique combination of external data sources, predictive risk typology models, and patented data management technologies to inform risk profiling and segmentation. The speed and accuracy achieved enables automation of customer screening and ongoing continuous monitoring at scale.
Graphyte summarizes results via Graphyte APIs and through the GraphyteSearch investigation application. Actionable information on individuals, organizations, and their relationships expands the coverage of CDD reviews to better manage reputational risk and fraud. Machine learning models and risk typologies optimize accuracy and relevancy ensuring that ongoing CDD alerts are on target.
Key Features
Expand the scope of applicant reviews
Identify more risks earlier and save compliance costs downstream.
Align with dynamic, AI-driven risk typologies
Achieve more intelligent risk ratings and segmentation to improve risk detection and reduce false positives.
Automate continuous surveillance
Eliminate the gaps of an intermittent review process.
Automated Adverse Media Screening for Continuous Customer Monitoring
Adverse media screening technology has evolved. It does not need to be just a primitive comparison of names against curated watchlists, or a limitless open source search full of diversions and distractions.
Financial institutions increasingly use adverse media information in the public domain to manage regulatory and reputational risk as part of their ongoing customer due diligence process (CDD). These reviews—performed periodically in ad-hoc or scheduled batches—can be tedious and time-consuming, which means that adverse information may only come to light several months after it occurs. In contrast, a continuous surveillance approach providing alerts on a daily basis has the potential to be dramatically more efficient.
But not all solutions are the same, and some FIs have struggled with their attempts at continuous monitoring. Some “software” solutions from legacy providers are actually managed services staffed by massive global investigation teams tasked with processing an overwhelming volume of false positives, often conducted outside the jurisdiction of the firm.
Graphyte is Quantifind’s adverse media screening and investigations platform. It’s being used today by Tier 1 banks, regional banks, and neobanks to perform daily monitoring of adverse media for tens of millions of customers, and has been proven to increase the productivity of their investigation teams by over 40%. It’s the same technology selected by the Department of Defense among dozens of alternatives to help uncover criminal networks.
Features of Graphyte for adverse media screening:
- AI-driven curation of massive public data sources
- Pushed alerts on new activity in adverse media and other sources
- Extraction of only the most accurate and relevant information
- Precise tuning of adverse media categories and criminal status
- Granular risk typologies such as Extortion, Child Exploitation, and Elder Abuse
- Avoidance of sharing sensitive customer data beyond the firm’s jurisdiction
- Integration with leading CDD case management systems
Here are a few of the ways that Quantifind’s decade-plus of data science R&D and Fortune 50 deployments have changed the paradigm for adverse media screening:
The Old Way
Screening service combining software and analysts; prone to worker disruptions and requiring data sharing outside of jurisdictions.
Graphyte™
100% subscription-based SaaS solution with end-to-end encryption.
Results with the wrong person or company identified 90% of the time.
AI-driven, high confidence entity resolution with 90% accuracy.
Human-curated lists of bad actors that quickly become outdated, in the model of PEP and sanctions screening.
Limitless risk assessments generated in real time using all available data, powered by full-text search against millions of articles.
Manually created, narrowly defined, static risk definitions that miss emergent threats.
Dynamic risk typologies that evolve with the threat space.
Google searches required to confirm hits and add context before decisioning; wasted time, inconsistent process, and non-secure methods.
Programmatic search performed anonymously and integrated with open source searches; review of only relevant results in a single purpose-built application.
Search machine-translated foreign-language sources for Anglicized names with English-only risk assessment.
Search foreign-language sources and assess risk in the native languages, using non-Roman character sets including Chinese.
Simple fuzzy matching algorithms and string distance metrics, unaware of cultural name variant conventions or name prevalence.
Name science quantifies expected name variants and name frequency within a specific country to assess the probability of a true match.
With this approach, Graphyte has been shown to enable daily screening for tens of millions of customers with just a few investigators.
Continuous customer monitoring.
AI-powered adverse media screening over millions of customers yields just 100-200 daily alerts.