42% Indians surveyed have experienced financial fraud in the last 3 years; Only 17% got their money back while 74% could not; Frauds with bank accounts highest with 29% experiencing them.
This futuristic solution begins with synthetic data generation using advanced diffusion models to create realistic transaction data for training, helping overcome the challenge of limited fraud examples.
This data is then used to train CNN and LSTM-based models that analyze transaction behavior across spatial and temporal patterns to detect frauds and assign risk scores.
To enable secure, large-scale collaboration across financial institutions, the system integrates federated learning enhanced with post-quantum encryption, allowing model training without sharing sensitive data and ensuring future-proof protection against emerging quantum threats of the future.
Additionally, a conversational support system with an integrated knowledge base and agentic reasoning helps users resolve payment issues, understand risks, and interact securely.