Oscilar partners with Jumio to enhance AI-driven risk decisioning and identity verification, revolutionizing fraud detection and improving digital onboarding security.

Discover how Oscilar's unified AI Risk Decisioning platform transforms fraud prevention with real-time data integration, advanced AI, and cost-effective solutions.

Oscilar, a leader in AI-powered risk decisioning, joins the American Fintech Council (AFC) to revolutionize fraud prevention, credit decisioning, and AML compliance. Learn about their innovative platform and commitment to responsible innovation in fintech.

Here's a suggested meta description for the article: TransPecos Banks partners with Oscilar to implement AI-powered AML risk management, enhancing BaaS compliance and scalability while reducing costs.

Explore the rise of ACH transactions, the growing fraud risks, and how Oscilar's AI-driven solutions offer robust protection against sophisticated fraud schemes.

Oscilar partners with SentiLink to enhance fraud detection and digital identity security, offering AI-powered risk management solutions that improve accuracy, scalability, and user experience for financial institutions.

Oscilar and Socure announce a groundbreaking partnership to enhance digital identity verification, fraud prevention, and risk management for financial institutions, combining advanced AI-driven solutions to streamline operations and improve customer onboarding.

Oscilar and Enigma partner to transform risk management in KYB, merchant, and credit risk sectors, merging AI decisioning with business verification data to enhance efficiency and accuracy.

Oscilar and Fingerprint team up to offer fintechs advanced fraud prevention with Fingerprint's device intelligence and Oscilar's AI-driven risk management, reducing fraud and enhancing customer experience.

Oscilar and Middesk partner to streamline financial institutions' onboarding and fraud prevention, combining business identity data with AI-driven risk management for enhanced accuracy and efficiency.

Discover how Oscilar's AI-Driven AML Risk Platform revolutionizes compliance, offering fintechs and banks robust tools to combat financial crime effectively within the BaaS ecosystem.

Oscilar partners with FairPlay, merging AI risk management with fairness analytics to advance fair lending in financial services, enhancing compliance and agility.

Learn how cutting-edge technologies streamline the customer onboarding process, enhance user experience, and revolutionize digital banking with our comprehensive guide.

Learn how AI for credit scoring transforms the credit underwriting process with enhanced accuracy, inclusivity, and efficiency.

Learn how to ace ACH fraud detection while improving acceptance rates with advanced technology, such as machine learning and AI-driven risk decisioning.

Explore how Generative AI is changing the game in financial services. From risk management to customer engagement, learn how to harness this technology for innovation in your organization.

From real-time analysis and adaptive learning to data augmentation and anomaly detection, generative AI offers a dynamic, evolving solution that addresses the drawbacks of existing approaches, thereby transforming the landscape of fraud detection.

eKYC doesn’t have to be a burden on your operations. Learn how to design your onboarding flow to remain compliant & competitive.

Learn how to reduce operational costs and user friction while staying KYC compliant in 2023.

Account Takeover attacks have emerged to be one of the biggest online threats. Learn how to protect your users from them.

In this conversation, our founders and Todd Anderson (Chief Content Officer of Fintech Nexus), discuss the founding story behind Oscilar and the importance of no-code and AI-powered risk solutions in the rapidly evolving fintech landscape.

Lending automation is behind the next wave of financial disruption. Read everything you need to know to optimize your lending game.

Credit scoring means more than just relying on credit bureaus. Learn how to get it right in online lending.

Tapping into the power of transaction monitoring alerts: real world examples from fintech, healthcare, insurance and beyond.

Learn how to combat fraud and ensure a secure customer onboarding process with KYC fraud detection. Discover the latest technologies and strategies that can be used to detect fraudulent activities and protect customers' data.

Looking to buy credit decisioning software? Our comprehensive guide covers everything you need to know - how they work and what features to look for.

A decisioning engine can be a business's superpower: turning data into actionable insight in record time to seize opportunities and stay clear of costly errors.

Why did transaction monitoring become the cornerstone of compliance programs? And why is its real-time aspect is so crucial? Read on to find out.

There are many benefits to designing a frictionless and secure KYC process, chief among them being the prevention of fraud.

Today's credit landscape is in the midst of a revolution. Today’s borrowers — no matter what type of credit they’re seeking — want a straightforward, fast, and personalized lending experience.

To continue modernizing your business by moving critical customer interactions online while also dealing with the complexity of adversarial patterns, there is an urgent need to pick a well-rounded fraud detection software. One that is not only comprehensive in the functionality it provides but also sufficiently customizable to adapt to your company's evolving business needs. After all, balancing fraud losses with friction in the user experience isn't a one-time decision.

Fraud detection is hard enough, but it's made much more difficult when the only data available to an organization is limited, fragmented and not appropriately analyzed.

When it comes to fraud, merchants face a unique challenge: how do you measure something that doesn't have a tangible value?

Digitally savvy customer segments value convenience and like to execute transactions remotely—if possible, without direct interaction with the institution.

The total fraud losses in 2020 amounted to 56 billion USD and U.S. businesses will lose an average of 5% of gross revenue to fraud, making fraud mitigation a core area of focus in businesses of all manner.

This blog post provides a high-level overview of a specific rule engine called Drools and how to build a modern business rules management system using Drools.

This is the first part of our blog series on modern business rule engines: learn the basics and the ins and outs of how it all works, whether you need it, and why.

This blog post will go through modern no-code decision engines in relation and its application to one of the most prolific use cases: fraud and risk decisioning.