H3M KROTON Suspect Miner addresses the major problems related to legacy systems with its unique machine-learning approach utilizing active learning.
Legacy Issue: High number of false positives, leading to excessive workload.
KROTON Solution: Reduce 2/3 of false positives by implementing machine learning algorithms in AML compliance software.
Legacy Issue: Detection rate of less than 0.2% for suspicious activity.
KROTON Solution: Identify thousands of suspicious activities, otherwise undetectable by rule-based systems, with a 98.4% true-positive rate.
Legacy Issue: Limited labelled dataset for building effective machine learning models.
KROTON Solution: Utilize Active Learning to combine analyst expertise with AI capabilities and proactive labelling to enhance machine learning performance.
Legacy Issue: Inability to adapt to emerging money laundering methods using rule-based systems.
KROTON Solution: Continuously discover and adapt to new laundering techniques through Active Learning in our AI-driven AML compliance software.
Legacy Issue: The growing backlog of alerts due to excessive alert generation.
KROTON Solution: Automatically filter backlog items using machine learning, optimizing workload and improving transaction monitoring efficiency.
Check out our applications of the KROTON product line as a solution in different verticals:
H3M's KROTON modules seamlessly integrate with existing rule-based compliance systems, enhancing their capabilities with advanced AI technology. Our unique approach prioritizes crime detection and prevention, with improved compliance, strengthened regulatory relations, competitive advantage, and increased brand value as beneficial outcomes. Designed from the ground up to reveal hidden connections and identify suspicious activities, H3M's KROTON product suite features four AI-driven modules that expertly blend compliance expertise and data science::