Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

AI-powered threat hunting will enable organisations to proactively search for and neutralise threats hidden within their networks, going beyond simply reacting to known attack patterns.

How can machine learning algorithms help in fraud detection and prevention? Machine learning algorithms are designed to recognize patterns based on a large amount of data, which can be leveraged ...

How AI And Machine Learning Help Detect And Prevent Fraud. ... It can process complex and high-dimensional data that is media of all kinds, and detect irregularities and intricate patterns within.

The cloud’s place in the data environment is growing, and TigerGraph wants to bolster its role. Today, the company rolled out several new features so cloud users can deliver more analytics and ...