Detect complex financial frauds with predictive analytics and deep learning.
Counter evolving financial crimes by using machine learning to detect both known and unknown potential frauds, protecting your business and customers across the onboarding and transaction journey, while ensuring a frictionless customer experience.
Our machine learning (ML) models can detect 80% more frauds that may have otherwise bypassed traditional rule-based approaches.
Detect close to 30% more frauds. Reduce false positives by at least 40% to efficiently optimise your investigation resources.
Equipped with a machine learning toolkit, your fraud and data science team can develop fraud models using the included algorithms, or import Python-based custom models.
Our machine learning supports an open model development process that offers a transparent view of the modelling parameters and contributing features associated with a specified fraud score.
Stay on top of evolving fraud with continuous autonomous model training by leveraging new incoming fraud pattern and investigation outcome data, maintaining model performance, and mitigating deterioration risk.
Build fraud models using the included supervised or unsupervised machine learning algorithms proven for effective fraud detection, or import pre-trained Python-based custom models.
An open design environment lets expert users build, train, test, and compare multiple models using different algorithms and modelling approaches to fine-tune and optimise performance.
Contributing features to fraud results are displayed to the investigator along with the score and an activity audit log to provide model transparency compliance.
Find out more about how your business could benefit from our fraud and compliance services.