As the cost of conduct risk goes up at regulated institutions, your decades-old keyword search is breaking under new compliance challenges, and you’re filling the capability gap with more people. Still, you’re overwhlemed with false positives, because the most important signals for misconduct—behavior, emotion, and intent—go missed. In the end, you are left with two bad options: increase spending on people until there’s no discretionary budget left, or control costs and accept more risk.
Accept more risk,
or accept more time and cost.
Replace lexicon monitoring with unsupervised machine learning, mine your unstructured data for insights, and reduce risk, time, and cost all at once. We build AI that sees the meaningful semantic signals in the lexical noise, and we build a platform—The AI Brain—that incorporates human input in a continuous feedback loop, improving accuracy and reducing false positives over time. Your teams arrive at relevant information, faster.
Reduce false positives, increase true positives, and pinpoint misconduct.
Surface and act on hidden patterns in a new timescale.
Expand the automation layer of your compliance organization to include more and more tasks.
Perform dynamic analysis of conduct risk across the organization. Explore compliance results with drill-down exploration, root cause analysis, fluctuating network associations, and misconduct alerts for both internal and external policies.
Utilizing unsupervised machine learning that can understand changing context and nuance, bring communications data to life, and capture the intent behind the behavior.
Connect the dots to build and continuously update behavioral profiles that provide anomaly detection with granular accuracy.