H3M KROTON Suspect Miner addresses the major problems related to legacy systems with its unique machine learning approach utilizing active learning.
Legacy Problem: High number of false positives resulting in excessive workload.
KROTON Solution: Eliminate 2/3 of false positives with machine learning.
Legacy Problem: Detecting less than 0.2% of suspicious activity.
KROTON Solution: Detecting 1000s of suspicious activity, which is otherwise invisible to rule-based systems. (with 98.4% true-positive)
Legacy Problem: Limited labelled data set for building a useful machine learning model.
KROTON Solution: Active Learning to incorporate analyst know-how with AI capability, and pro-active labelling to help the machines.
Legacy Problem: Rules not covering emerging laundering methods.
KROTON Solution: Active Learning routinely discovers emerging laundering methods.
Legacy Problem: The increasing backlog of alerts due to excessive alert generation.
KROTON Solution: Automatic filtering of backlog items using machine learning.
Check out our applications of the KROTON product line as a solution in different verticals:
H3M KROTON modules work hand-in-hand with legacy rule-based compliance systems and upgrade them with the help of Artificial Intelligence. H3M flips the paradigm. Most platforms help firms comply. Crime detection is a by-product. H3M is different. Designed from the ground up to uncover hidden links to detect and prevent crime, better compliance, enhanced regulatory relations, competitive advantage, and brand value are great by-products. The KROTON product suite includes 4 AI-based modules which powerfully combine compliance know-how with data science: