SOURCE-LINKED INTELLIGENCE

Explainable Anomaly Detection for Safeguarding and Enhancing Modern Data Industry

CORDIS · observation · Publication date unknown

limited industry-grade solutions available today, we propose a breakthrough XAD system that offers unprecedented capabilities for safeguarding digital services. To this end, it seamlessly integrates deep learning-based anomaly detection (AD), which unlocks the power of detecting evolving, previously unknown, complex anomaly types, and explanation discovery (ED), which overcomes the non-interpretability of deep learning by returning human-readable, actionable insights. To establish a pathway from fundamental research to innovation, we will conduct 1) additional research activities on automated model selection, scalable execution, and data visualization; (2) prototyping, benchmarking analysis, and system demonstration; (3) large-scale use case studies with industry partners, leveraging ongoing collaborations and building new use cases across banking, finance, and healthcare domains; (4) market analysis and market entry strategy development to enable technology transfer. Our XAD system will have a direct impact on end users across a variety of sectors, including fraud analysts in ban

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR