Detection & Prevention
By the end of 2023, ad fraud had cost marketers a staggering $88 billion worldwide, according to AppsFlyer. Predictably, this figure is expected to spike to $172 billion by 2028. With 15% of global mobile media expenditure wasted on fraudulent activities, the fintech sector finds itself uniquely vulnerable. This article ventures into how ad fraud
The journey of AI from an experimental phase to its current widespread use in enterprises brings an urgent need for robust governance frameworks. As AI continues to integrate into business operations, the risks—both reputational and financial—intensify, making the establishment of effective governance vital. Learning from the governance approaches
In-game skins have become a cherished part of gaming culture, providing players with the opportunity to customize their characters and show off unique looks. However, trading these skins comes with its own set of risks. Scammers are constantly developing new tactics to exploit unsuspecting players and steal their valuable in-game items. Moreover,
In the rapidly evolving digital landscape, fraud has become increasingly sophisticated, impacting multiple sectors from banking to social media. Traditional security measures often fall short, making Big Data Analytics an essential tool in the fight against modern fraud. This article delves into how Big Data Analytics is reshaping fraud detection,
Artificial Intelligence (AI) is reshaping industries across the globe, with the financial sector experiencing some of the most profound changes. AI technologies, including those from industry leaders like NVIDIA and DataStax, are providing banks such as ANZ (Australia and New Zealand Banking Group) with powerful tools to enhance their financial