insights to unveil the non-obvious

Arkhos counter fraud

Converging forces are escalating fraud risk, exerting significant downward pressure on an organization’s bottom line

Globlue Technologies Arkhos Revsion

Increasingly frequent and complex fraud schemes

Increasingly frequent and complex fraud schemes

Fraud no longer acceptable as
“cost of doing Business”

Fraud loss

False positives, missed organized crime, Inefficient investigations

False Positives

Insurance Companies need instant access to actionable intelligence in order to uncover and stop nefarious activities before they happen. The challenge that comes along with it is that SIUs are exposed to more data they can process in a timely fashion.


ARKHOS Counter Fraud can help Insurance Companies to proactively fight insurance fraud by applying advanced analytics to streamline detection, reduce false positives, and increase efficiency.

ARKHOS AI built-in engine continually scans all available data sources for suspicious patterns, identifies potential matches, provides SIU analysts and investigators with alerts, and insightful recommendations for optimized decisions.

Arkhos Predictive

ARKHOS allows analysts and investigators to uncover the single version of the truth about any entity of interest, by visualizing results seamlessly, in real time, through an intuitive  integrated user interface.

Arkhos Forensics

Automated referrals from predictive analytics are proactively displayed for actions on ARKHOS Data Fusion's dashboard, reducing processing time, while increasing collaboration and productivity. 

Arkhos case management
 

Try ARKHOS

Contact our Counter Fraud team and request a risk free proof of concept

  • Request ARKHOS Brochure
  • Request Live Demonstration

Read White Paper

Idc

Globlue deploys ARKHOS Enterprise for a multi-state insurance company.

Read Full IDC paper

ARKHOS SIU/MCIU Consulting Services

Need to develop or enhance your SIU/MCIU?

Our experienced subject matter experts can provide innovated direction for your organization to develop an early detection analytical framework that best fit your fraud prevention initiatives.

Learn more...