Fraud detection systems can identify many types of fraud, including payments fraud, identity and application fraud, insurance fraud and account takeover. Advanced analytics and machine learning analyze transaction patterns and behavioral signals to detect suspicious activity across accounts, payments and digital channels.
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This remains the most prevalent form of financial crime globally. It targets the direct access points to your money: your cards and your bank accounts.
- Skimming: Criminals use small devices called “skimmers” placed over ATM or point-of-sale card slots to capture the data from your card’s magnetic strip.
- Card-Not-Present (CNP) Fraud: This occurs during online shopping where a physical card isn’t required. Thieves use stolen card numbers, expiry dates, and CVV codes to make unauthorized purchases.
- Account Takeover (ATO): A hacker gains access to your online banking credentials (often through malware or phishing) and changes the contact details or passwords, locking you out while they drain your funds.