Security and Compliance
PR Newswire | October 18, 2023
Jack Henry™ (Nasdaq: JKHY) announced today that it is redefining fraud prevention with the initial roll out of Jack Henry Financial Crimes Defender™, a cloud-native fraud and anti-money laundering (AML) solution designed with real-time capabilities at the forefront. This new solution allows community and regional financial institutions to proactively combat financial crimes across channels.
Financial Crimes Defender is part of Jack Henry's technology modernization strategy, focused on delivering cloud-native solutions that help banks and credit unions innovate faster, differentiate strategically, and meet the evolving needs of their accountholders. The platform is built on the public cloud, allowing for real-time data, more accurate reporting, open integrations, speed, and agility.
New York-based Carver Federal Savings Bank is among the first financial institutions to implement the solution. "Jack Henry's Financial Crimes Defender positions us well against the rising threat of fraud; it allows us to offer a secure and smooth banking experience for our customers," said Patrick Brennan, VP of information technology at the bank. "It's seamless integration, user-friendly design and real-time, AI-powered fraud detection will help us operate more efficiently and improve our fraud detection rate to keep our customers and their money safe. Our staff can now make faster and smarter decisions and better combat financial crimes and minimize risk."
Financial Crimes Defender provides real-time detection and prevention of fraud involving checks, deposits, transfers, ACH transactions, and instant payments. Financial institutions can stop transactions before they leave the institution or appear in the clients' accounts. Plus, its open architecture allows for the seamless integration of third-party data into the platform, improving overall fraud management for financial institutions across all relationships.
This AI-powered solution bundles fraud and AML solutions to help financial institutions of all sizes make faster and more informed risk decisions, minimize false positives and wasted resources, improve operational efficiency, and ensure more effective fraud monitoring and reporting for Bank Secrecy Act (BSA) compliance. Moreover, its real-time data and behavioral analytics enables secure transactions and enhanced trust.
In order to fight fraud with more data, financial institutions can access a central repository of fraudulent activity using the Federal Reserve's FraudClassifier, built natively into the solution. FraudClassifier addresses the industry-wide challenge of inconsistent classifications for fraud involving ACH, wire, or check payments.
Fighting fraud with real-time data is the equivalent of catching an intruder at the front door, before they get into the house, says Matt Riley, president of Complementary Solutions at Jack Henry. Financial Crimes Defender lets financial institutions detect and prevent fraud at first sight, ensuring assets and information remain within the institution. This is a game-changer for community banks and credit unions.
PR Newswire | October 19, 2023
Alloy, the identity risk management company, is expanding its credit underwriting capabilities to support banks, fintechs, and other builders of financial products in managing their holistic credit risk. In a challenging macro-environment, Alloy enables lenders to make smarter credit decisions, capture default risk, and increase revenue by identifying upsell and cross-sell opportunities. Alloy also automates credit line management and product remarketing, helping lenders maintain appropriate credit limits and proactively extend new product offers to customers.
Lenders rely on Alloy's established credit underwriting capabilities to offer credit products to more people with less risk. Alloy allows lenders to automate their credit decisions using identity data gathered during onboarding, credit bureau data, and alternative underwriting data. Lenders can make credit decisions using custom models, building anything from basic workflows to complex matrix models right within Alloy.
Alloy's updated credit offering builds upon these existing capabilities to offer a comprehensive and proactive approach to credit management beyond origination, enabling banks and fintechs to monitor for credit risk throughout the customer lifecycle. New features include:
Automated, scheduled checks using the richest set of credit signals to monitor the ongoing financial health of borrowers: Lenders can incorporate fresh data pulls into their decisioning from a wide range of third party data sources: including credit bureau data, alternative underwriting data, and their own proprietary data. This comprehensive approach enables lenders to build a more complete picture of a borrower's creditworthiness and potential risks and carry out more data-driven decisions.
Real-time alerts sent to lenders to notify them about changes in a borrower's risk (e.g. if a borrower declares bankruptcy): Lenders can then take proactive measures to prevent the accumulation of high-risk loans.
Automated line management: Lenders can maintain appropriate credit limits and terms through continuous monitoring to determine if customers qualify for a credit line change based on behavior and automatically conduct line adjustments.
Automated credit remarketing process: Lenders can monitor positive customer behaviors like timely repayments and salary increases and can offer good customers new products, ultimately increasing their company revenue.
Historically, lenders have had to rely on point-in-time, siloed information about their borrowers, said Parilee Wang, Chief Product Officer at Alloy. With Alloy, lenders have a holistic solution for building a more complete picture of a borrower's ongoing creditworthiness and potential risks.
Alloy's product investment in the credit space comes as U.S. consumer credit card debt has topped $1 trillion for the first time in history. As many borrowers face increased financial strain impacting their ability to repay debts, lenders may be forced to make difficult decisions about the creditworthiness of their applicants. At the same time, as revolving credit usage grows and consumers demand personalized, seamless experiences from their financial institutions, lenders are challenged with remaining top of wallet and staying ahead of competitors.
"We were so excited to find a credit underwriting solution that lets us proactively manage our credit risk and allows us to rely on automated decisioning," said Bobby Parker, Head of Credit at PEX Card. "The configurable platform allows us to be nimble, and we can make critical underwriting changes quickly with the appropriate controls in place. Furthermore, with the A/B test feature, and pre-built integrations with salient data providers, we can ensure our decisions are driven by data and information gain. Leaning on this solution will give us the ability to prudently grow our portfolio while driving strong risk adjusted returns."
"We knew building our platform would require us to partner with best-in-class fraud prevention, compliance, and credit decisioning capabilities," said David Anderson, Co-Founder and CPO at Tandym, a consumer credit card issuer and Alloy client. "We wanted a solution that was flexible, easy to use, pre-baked with integrations, and that made adding new data sources and making changes to our policy simple and seamless. Using Alloy's Identity Risk Solution for credit underwriting provided us with the tools to create more complex configurations to deliver better and more tailored results."
Alloy offers the broadest coverage of third-party data in the industry with more than 190 data sources, including credit bureaus and alternative credit data providers. Some of Alloy's partners in the credit space include:
Alloy solves the identity risk problem for companies that offer financial products. Today, nearly 500 banks and fintechs turn to Alloy's end-to-end identity risk management platform to take control of fraud, credit, and compliance risk, and grow with confidence. Founded in 2015, Alloy is powering the delivery of great financial products to more customers around the world. Learn more at alloy.com.
PR Newswire | October 20, 2023
LTX, a subsidiary of global Fintech leader, Broadridge Financial Solutions, Inc. (NYSE:BR), today announced the launch of BondGPT+, the enterprise version of its award-winning BondGPT application, which incorporates Broadridge's unique patent-pending technology and OpenAI GPT-4 to answer complex bond-related questions and rapidly assist users in their identification of corporate bonds on the LTX platform. BondGPT+ contains a range of new capabilities focused on the needs of its most sophisticated enterprise clients.
Since the successful launch of BondGPT in June 2023, we have received overwhelmingly positive feedback and thoughtful suggestions from our clients, said Jim Kwiatkowski, CEO of LTX. Based on that feedback, we have moved quickly to incorporate clients' own data as well as a range of new features in the second generation of BondGPT. The result is that BondGPT+ not only meets our clients' enterprise requirements, but also sets a new standard for generative AI solutions in the financial industry by providing a single natural language interface for seamless access to much of the data used by busy fixed income professionals.
Enterprise data and workflow integration
BondGPT+ allows clients to securely integrate their own data and other third-party datasets, providing easier access to critical information. Offering multiple implementation options and a robust API suite, BondGPT+ seamlessly integrates into clients' enterprise applications, including trading workflows. This means businesses can harness the full spectrum of BondGPT+'s natural language capabilities to receive quick answers to complex questions, which can help clients optimize portfolio strategies and make better-informed trading decisions when time is of the essence.
User-level customization and premium features
The personalized BondGPT+ dashboard with resizable answer panels allows users to take up as much or as little screen real estate as required. Critical questions can be saved as "favorites" on the dashboard and scheduled to run at a desired frequency, time of day, or when key data changes. Users can tailor BondGPT+ to their requirements by adding preferences that should be considered when generating responses. For example, if a user or firm has a policy where they only trade high yield bonds that are above a certain credit rating, BondGPT+ can be instructed to only include those types of bonds in its responses.
Accuracy, security, and control
From the first instance, BondGPT was created with architectural design patterns that ensure accuracy, data security, and privacy. These principles are equally central to BondGPT+ enterprise implementations, and they are especially critical given the capabilities within BondGPT+ to integrate with proprietary client data and systems.
Because it was purpose-built for institutional fixed income users, accuracy is paramount in BondGPT, and BondGPT+ continues this heritage. The application relies on verified, curated data sources, which mitigates hallucination risk and eliminates the need to pass sensitive data through the LLM. Further, explainable AI capabilities allow users and administrators to understand how BondGPT+ arrives at its responses. The patent-pending technology behind the "Show your work" feature offers transparency by showing, step-by-step, how each response was created.
Another key differentiator of BondGPT+ is its focus on enterprise control and governance. With its Admin Center, system administrators gain the ability to configure various levels of data access through user and firm level entitlements. BondGPT+ builds on BondGPT's AI-powered compliance layer, allowing compliance officers at client firms to add custom rules based on their firm's unique compliance and risk management processes. AI-powered usage analysis provides invaluable insights into user interactions with BondGPT, offering businesses a powerful tool for improving user engagement.
"Generative AI has the potential to transform the financial services industry by bringing unparalleled efficiencies to core operations," said Jean Sullivan of Celent. "BondGPT is a transformative industry-first use case that enables streamlined pre-trade fixed income workflows. By integrating BondGPT+'s natural language capabilities and curated data sources with clients' own data in their own systems, LTX is helping market participants make smarter, more streamlined decisions through easier access to the mountains of disparate data they deal with every day."