Identity Theft Detection at Data Ingestion Using AI: An Explainable Anomaly Detection Approach

Key Points

• Identity theft detection improves with an explainable anomaly detection approach, enhancing security measures.
• The method effectively identifies irregular patterns during data ingestion, achieving higher accuracy rates.
• Assessment of AI algorithms demonstrates their reliability in identifying identity theft instances early on.
• These findings suggest that implementing AI can significantly enhance security protocols, reducing risks associated with data breaches.