In this modern era of financial fraud detection, traditional rule-based systems are being outpaced by hybrid models that seamlessly integrate human expertise with data engineering frameworks.

Scammers can use fake identities to apply to community colleges, enroll in classes and then try to get financial aid — money ...

They also help to prevent financial losses caused by credit card fraud. Credit card issuers have several ways to detect and intercept fraud by analyzing transactions in real-time to identify ...

By infusing domain-specific knowledge into a standard AI framework, we can create responses that are finely tuned to specific ...

As cybercriminals exploit AI-generated deepfake scams and synthetic identity fraud, financial institutions are investing ...

Artificial intelligence (AI) is reshaping industries, and financial services are no exception. Raviteja Pachika, a noted ...

Fraud is one of the most pressing challenges facing financial institutions today, and as leaders in the credit union movement, we must take a proactive stance in protecting our ...

The report explores how digital technologies like AI, blockchain, and automation can combat fraud, waste, and abuse (FWA) in ...

Fraudulent parties exist on both the customer and business side of the economy and their targets differ depending on their ...

Financial institutions are facing a significant increase in deepfake fraud attempts, which have grown by 2137% in the last three years, according to data from Signicat's The Battle Against AI-Driven ...

Veridas has introduced an advanced injection attack detection capability into its system, to combat the growing threat of ...

Prudhvi Uppaluri's insights highlight the profound impact quantum computing could have on the financial sector.