Your team is developing a real-time fraud detection system for a major international bank. The system must meet the following requirements: Process transactions in real-time from various banking applications in a standardized format, store data in real-time with some statistical aggregations, periodically train an ML model for outlier detection, provide a probability of fraud for each transaction, and minimize labeling and software development efforts. Additionally, the system must comply with international banking regulations, handle high transaction volumes without significant latency, and be scalable to accommodate future growth. Given these constraints, which two ML models would best meet these requirements? Choose two correct options.