Synthetic identity theft — where criminals combine real and fabricated data to create entirely new “people” — is one of the fastest-growing forms of digital fraud. Unlike traditional identity theft, ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...

In online advertising, it’s only getting harder to know who’s actually looking at what. The digital marketing ecosystem operates on impressions and clicks, generating micro transactions each time ...

Liveness detection is a biometric security feature designed to determine whether the biometric data, such as a facial image, fingerprint, or voice, comes from a real, live person rather than a fake ...

Phase 4 extension of SimoN platform will enhance tax compliance capabilities and provide critical support for the agency’s modernization and predictive analytics goals. The SimoN platform provides a ...

In an era where authenticity is as valuable as the vintage itself, the wine industry faces a pressing challenge: wine fraud. The deceitful practice, costing millions annually, undermines consumer ...

The age estimation and liveness detection APIs offer developers fast, secure and privacy-conscious tools to meet demands for ...