FICO users are business users, not developers. When setting up rules or parameters, some coding is required, and the learning curve is quite steep. This is a disadvantage of FICO. Additionally, the offline analysis of transactions is not flexible. Transactions need to be flagged as fraud to show up in the analysis, making it difficult to identify false negatives. The Identity Resolution Engine (IRE), an extension to FICO Falcon Platform, is helpful. However, integration with FICO Falcon Fraud Manager can be challenging due to its rigid template and data format requirements. This can cause delays in development and integration, potentially postponing projects by a month or two. AI is another thing they could improve is how they create the data model for my bank's detection data. From what I understand, they already have the capability to do that. But the data being processed in my bank, the ones they can process, is not really much. Maybe it's just a mistake on my part. But in terms of AI other than machine learning that they've already implemented, I have not seen any significant use case.
Fraud will always be a problem here in Brazil, and I think blockchain technology is the future because it increases transparency in transactions. Even with Falcon, we need to spend time verifying transactions. I think a better way is to put the transactions in a blockchain. You can put these people on a block list if you know who made the fraudulent transactions. There is no way to do that because nobody has a blockchain solution, but I think that's where the industry is headed. Everything will be blockchain in the future.
What is Fraud Detection and Prevention? It wasn’t that long ago that fraud detection and prevention involved reviewing a fair bit of historical data analysis. Data scientists would be poring over tons of credit card records in order to spot fraudulent (or with luck, potentially fraudulent) activity.
Fast forward to today and we see fraud detection systems depend on catching and stopping fraud the second it’s spotted or even before it actually occurs. Automated solutions for fraud...
FICO users are business users, not developers. When setting up rules or parameters, some coding is required, and the learning curve is quite steep. This is a disadvantage of FICO. Additionally, the offline analysis of transactions is not flexible. Transactions need to be flagged as fraud to show up in the analysis, making it difficult to identify false negatives. The Identity Resolution Engine (IRE), an extension to FICO Falcon Platform, is helpful. However, integration with FICO Falcon Fraud Manager can be challenging due to its rigid template and data format requirements. This can cause delays in development and integration, potentially postponing projects by a month or two. AI is another thing they could improve is how they create the data model for my bank's detection data. From what I understand, they already have the capability to do that. But the data being processed in my bank, the ones they can process, is not really much. Maybe it's just a mistake on my part. But in terms of AI other than machine learning that they've already implemented, I have not seen any significant use case.
Fraud will always be a problem here in Brazil, and I think blockchain technology is the future because it increases transparency in transactions. Even with Falcon, we need to spend time verifying transactions. I think a better way is to put the transactions in a blockchain. You can put these people on a block list if you know who made the fraudulent transactions. There is no way to do that because nobody has a blockchain solution, but I think that's where the industry is headed. Everything will be blockchain in the future.