What are the main AI methods discussed in the chapter that help financial institutions detect unusual activities?

The main AI methods discussed for detecting unusual activities in financial institutions are machine learning (ML), natural language processing (NLP), and predictive analytics.

These AI methods enhance the ability of financial institutions to identify and respond to potential threats and fraudulent activities. Machine learning algorithms can analyze patterns in transaction data, natural language processing can help interpret unstructured data for threat detection, and predictive analytics can forecast potential risks based on historical data. Together, these technologies contribute to a more secure financial environment by enabling quicker detection and prevention of fraud.