Detection & Prevention
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
The global financial sector has undergone a significant transformation, driven by the need to adopt advanced technologies to combat financial fraud more effectively. Financial fraud has become a costly menace, with annual losses exceeding $500 billion due to outdated and inadequate fraud prevention mechanisms. Adding to the challenge are
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
March 2025 marked a crucial phase for Microsoft as it rolled out its Patch Tuesday updates, focusing primarily on addressing high-risk vulnerabilities. This month's update was particularly critical due to the inclusion of several zero-day exploits and Remote Code Execution (RCE) flaws alongside a wide array of vulnerabilities patched across