One of the key processes for a financial institution is identifying and detecting fraudulent transactions. Whether the financial institution wants to identify fraud in credit card transactions and/or investment deals, this is something we are doing at ML6 everyday.
To today, ML6 has developed – and deployed already a set of self-learning fraud detection engines. In most cases, ML6 applies Autoencoder Neural Networks to identify fraudulent transactions. Applying this type of Neural Network, allows us to learn how a fraudulent case typically looks like.
When a transaction with this set of attributes occur, our fraud flag will be raised.