As technology continues to advance, the financial industry is constantly looking for ways to improve security and prevent fraud. One promising solution is the use of artificial intelligence (AI) and quantum machine learning for quantum-enhanced fraud detection in financial transactions.
Traditional fraud detection methods rely on rule-based systems that are limited in their ability to detect new and sophisticated types of fraud. AI, on the other hand, can analyze vast amounts of data and identify patterns that may indicate fraudulent activity. By using machine learning algorithms, AI can also adapt and improve its detection capabilities over time.