A financial services company is looking for a solution that detects anomalies in order to identify fraudulent transactions. The company utilizes Amazon Kinesis to transfer JSON-formatted transaction records from its on-premises database to Amazon S3. The existing dataset comprises 100-column-wide records for each transaction. To identify fraudulent transactions, the solution needs to analyze just ten of these columns. As an AWS Certified Data Engineer Associate, which of the following would you suggest as the lowest-cost solution that needs the least development work and offers out-of-the-box anomaly detection functionality?