AI Powered Fraud Detection for Payments & Transactions | Maimoon Saleem | DSC MENA 25
As digital transactions continue to rise, financial institutions face increasing challenges in fraud detection and prevention. In this session, Maimoon Saleem explored AI-powered fraud detection systems that provide scalable, intelligent solutions to detect anomalies and fraudulent activities in real time.
Maimoon covered a range of key topics, including:
- Predictive Modeling & Anomaly Detection – He explained how AI systems analyze vast datasets of transactions to detect irregularities and flag potential fraud in real time.
- Deep Learning for Fraud Detection – Maimoon demonstrated how neural networks identify fraud risks with high accuracy by learning patterns in transaction data.
- NLP in Fraud Detection – He discussed how Natural Language Processing (NLP) is used to analyze unstructured customer communication for signs of fraudulent activity.
- Predictive Analytics Platforms – He highlighted how leveraging historical data can proactively prevent fraud by forecasting potential threats before they occur.
Attendees gained valuable insights into how AI is reshaping fraud detection in the payments industry and learned actionable strategies to implement AI-driven security solutions.
This tutorial by Maimoon Saleem was held on April 10, 2025, at DSC MENA 25 ONLINE.
As digital transactions continue to rise, financial institutions face increasing challenges in fraud detection and prevention. In this session, Maimoon Saleem explored AI-powered fraud detection systems that provide scalable, intelligent solutions to detect anomalies and fraudulent activities in real time.
Maimoon covered a range of key topics, including:
– Predictive Modeling & Anomaly Detection – He explained how AI systems analyze vast datasets of transactions to detect irregularities and flag potential fraud in real time.
– Deep Learning for Fraud Detection – Maimoon demonstrated how neural networks identify fraud risks with high accuracy by learning patterns in transaction data.
– NLP in Fraud Detection – He discussed how Natural Language Processing (NLP) is used to analyze unstructured customer communication for signs of fraudulent activity.
– Predictive Analytics Platforms – He highlighted how leveraging historical data can proactively prevent fraud by forecasting potential threats before they occur.
Attendees gained valuable insights into how AI is reshaping fraud detection in the payments industry and learned actionable strategies to implement AI-driven security solutions.
This tutorial by Maimoon Saleem was held on April 10, 2025, at DSC MENA 25 ONLINE.
