PageFinancial Crime Management for Credit UnionsVerafin is the industry’s leading Financial Crime Management platform, trusted by 1200 credit unions to strengthen compliance and combat evolving financial crimes. Using artificial intelligence and highly-targeted analytical agents, as well as cross-institutional analysis and collaboration through the Cloud, Verafin provides credit unions across the U.S. with higher-quality alerts, expedites investigations, and drives richer, more […] |
PageElder Financial Abuse: Best Practices for Early Detection & Timely ReportingElder financial abuse is a significant and growing problem that has devastating effects on individuals and families in Iowa, and across America. Believed to be largely underreported, financial institutions are facing increased responsibility to help combat the exploitation of vulnerable customers. Early detection of red flags and timely reporting to law enforcement are critical to […] |
PageComplex AML Investigations with Visualization and Integrated Case ManagementAs financial crime grows in scale and complexity, banks are facing increasing expectations to improve detection rates, expedite investigations, and enhance reporting to law enforcement. Investigation teams are further challenged by inefficient workflows across siloed, disparate systems and multiple data sources — resulting in a limited view of activity, slower decision-making and increased operational costs. […] |
PagePayments Fraud: Charting a Growing ThreatFraudsters will use every available channel to target your institution, including exploiting the speed and convenience of ACH and wire transfers for their schemes. From irrevocable and high-value wires to multiple ACH transfers slightly beneath your institution’s reporting threshold, the potential for loss is extreme. In this engaging event, industry expert and Verafin Product Evangelist […] |
PageWire FraudAs the threat of wire fraud grows and criminals develop increasingly complex scams, banks and credit unions require quick and effective solutions to protect their institutions and their customers from loss. Wire losses can be significant and difficult to recover, and the high values and international nature of many wire transfers make them inherently risky. […] |
PageACH FraudCriminals are exploiting the increasing speed and convenience of ACH transfers through lucrative scams, from Business Email Compromise (BEC) to payroll diversion, and consumer and corporate online account takeover. With ACH volume increasing year-over-year, the potential for loss may be greater than ever. Join our product experts for an educational webinar as they explore trends, […] |
PageCloud Trends Revealed: Fraud Insights & Benchmarks for Financial InstitutionsVerafin is pleased to offer a special rebroadcast of our exciting Cloud Trends Revealed webinar, featuring results of trend analysis from an immense set of anonymized data from financial institutions in the Verafin Cloud, representing more than $3 trillion in collective assets. In this insightful webinar, anti-financial crime experts Brendan Brothers and Mauriceo Castanheiro will […] |
PageStrengthening Due Diligence: End-to-End High-Risk Customer ManagementOriginally Presented: June 10, 2021 Financial institutions are facing significant challenges managing customers in high-risk categories amid increased regulatory pressure surrounding Customer Due Diligence and Enhanced Due Diligence (CDD/EDD). In this insightful session from the June 2021 Virtual Tour, technology experts and professionals from peer institutions discussed innovative approaches and best practices to improve due […] |
PageInsights & Innovations: Fighting Fraud with Big DataOriginally Presented: June 8, 2021 Cunning fraudsters are targeting financial institutions and customers with opportunistic schemes and lucrative scams. In this engaging session from the June 2021 Virtual Tour, industry experts discussed lessons learned from a challenging year, and innovative approaches to take decisive action — including deposit and check fraud detection strengthened by machine […] |