Had it been around in 2020, it could have flagged tens of billions before payouts, PRAC tells Congress A fraud-detection AI ...

During the pandemic and the years that followed, states that successfully adopted innovative technology to combat fraud saved ...

For organizations planning a transition to AI-powered identity verification, the priority should be deploying these ...

Blockchain analytics firm Chainalysis says a concerning trend that emerged in 2025 was a 1400% year-over-year spike in ...

Partnership delivers real-time, AI-driven fraud prevention to protect self-service and digital payments across the region ...

As social engineering attacks grow more sophisticated, banks are combining AI-driven detection with traditional controls to ...

Abstract: Fraud detection in financial operations is a vital obligation for maintaining integrity and privacy of financial processes. This research utilizes powerful machine learning algorithms to ...

An AI model has been developed under government leadership to preemptively detect jeonse fraud before the contract signing stage. The government plans to discuss measures to develop it into an actual ...

Abstract: Health insurance is a valuable service that provides consumers with access to essential medical assistance during critical times. There is a substantial monetary effect from the complicated ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...