article thumbnail

Meet the Rockstars of Risk: Essential insights for software companies navigating payments, compliance, and security

Payrix

At Payrix from Worldpay, we have an internal team of risk management experts dedicated to helping software companies, like yours, manage payment processing, fraud prevention, and compliance. Recently, we deployed an in-house machine learning model that predicts the likelihood of ACH payment rejections. compliance.

article thumbnail

How to Maintain Anti-Money Laundering Compliance as a PayFac

Stax

The US, therefore, requires financial institutions as well as financial services firms to have anti-money laundering (or AML) compliance programs in place. In this article, we’ll discuss everything you need to know about ensuring AML compliance as a payment facilitator (or PayFac). Non-compliance can have major implications.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Future of Security Compliance: How Emerging Technologies are Setting New Rules

Scytale

Although the evolving tech landscape can yield unprecedented opportunities, it presents formidable challenges, especially regarding security compliance. Organizations and regulators are now forced to rethink their attitudes towards innovative (albeit risky) solutions to many of the gaps in traditional compliance processes.

article thumbnail

The Power of Gen-AI in Regulatory Compliance

Scytale

Regulatory Compliance is Tough – But so is GenAI Although regulatory compliance can be straightforward with the right tools , for many organizations, navigating a labyrinth of complex regulations can be daunting. So, why is regulatory compliance so challenging? Here’s why. Understanding GenAI What is Generative AI?

article thumbnail

Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

article thumbnail

Which AI Model Should You Pick for Your Startup?

Tom Tunguz

the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. the team has or would like to develop intellectual property around machine learning as a competitive advantage or mechanism to increase the value of the business.

article thumbnail

How Automation and Machine Learning are Reshaping the Finance Function, Part One

OPEXEngine

Here’s how more advanced methods of automation, including machine learning, can help CFOs transform the finance function to be more of a strategic advisor to the business. Where Automation and Machine Learning Can Drive Finance Transformation. Internal and external fraud costs businesses billions of dollars each year.