AI technologies play a vital role in the fight against cybercrime by enhancing the most widely used cybersecurity systems.
AI and ML play a crucial role in online fraud detection, where algorithms detect fraudulent activity in online transactions, such as credit card, online banking, or e-commerce transactions. These algorithms can be applied in real time to identify and flag suspicious activity.
A cybersecurity threat is any activity, event, or situation that has the potential to cause harm to computer systems, networks, or data. According According to the 2022 Global Economic Crime and Fraud Survey, after customer fraud, the second most common type of threat facing financial services is cybercrime.
Cybercrime refers to criminal activities that involve technology, such as computers, networks, or the Internet. These activities can result in various damages, including financial loss, data theft or destruction, and reputational damage. The most common cyber threats include hacking, identity fraudidentity theft and malware.
A cyber attack is a specific type of cyber crime that involves an intentional attempt by a third party to disrupt or gain unauthorized access to a system or network.
Cybersecurity is defending different systems, networks and devices from malicious attacks. A crucial element of cybersecurity systems is real-time monitoring of all electronic resources. Major software companies like IBM are already using AI-powered technologies to enhance their cybersecurity solutions.
