Fraud Detection
Fraud detection is a set of techniques and processes used to identify and prevent fraudulent activities, such as unauthorized transactions, identity theft, or malicious behavior in systems. It involves analyzing data patterns, anomalies, and behaviors to flag suspicious actions in real-time or through post-analysis. This concept is widely applied in industries like finance, e-commerce, insurance, and cybersecurity to mitigate risks and losses.
Developers should learn fraud detection to build secure applications that protect users and businesses from financial and reputational damage, especially in high-risk domains like online payments or user authentication. It is essential for implementing compliance measures (e.g., anti-money laundering regulations) and enhancing customer trust by proactively addressing threats. Use cases include detecting credit card fraud in banking apps, preventing account takeovers in social media platforms, and identifying fake reviews in e-commerce sites.