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- Fraud Detection In Banks
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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
An online game is a video game that is either partially or primarily played through the Internet or any other computer network available. [1] Online games are ubiquitous on modern gaming platforms, including PCs, consoles and mobile devices, and span many genres, including first-person shooters, strategy games, and massively multiplayer online role-playing games (MMORPG). [2]
The majority of these scams were imposter scams and online shopping frauds. [2] Furthermore, artificial intelligence plays a crucial role in developing advanced algorithms and machine learning models that enhance fraud detection systems, enabling businesses to stay ahead of evolving fraudulent tactics in an increasingly digital landscape. [3]
CAATs provide auditors with tools that can identify unexpected or unexplained patterns in data that may indicate fraud. Whether the CAATs is simple or complex, data analysis provides many benefits in the prevention and detection of fraud. CAATs can assist the auditor in detecting fraud by performing and creating the following,
The Mahadev Betting App Case is a high-profile scandal involving an online betting platform that enabled illegal gambling on various games, including poker, card games, badminton, tennis, football, and cricket.
TrapWire is an American software and services company focused on risk mitigation and threat detection. Headquartered in Virginia, [1] the company blends proprietary analytic tools and Artificial Intelligence to produce a homonymous software system to help its users find patterns indicative of terrorist attacks and other criminal events.
Threat hunting has traditionally been a manual process, in which a security analyst sifts through various data information using their own knowledge and familiarity with the network to create hypotheses about potential threats, such as, but not limited to, lateral movement by threat actors. [6]
The Internet is an inherently insecure channel for information exchange, with high risk of intrusion or fraud, such as phishing, [3] online viruses, trojans, ransomware and worms. Many methods are used to combat these threats, including encryption and ground-up engineering.