ThetaRay (Israel) is a leading provider of a big data analytics platform and solutions for advanced cyber security
ThetaRay is a leading provider of a big data analytics platform and solutions for advanced cyber security, operational efficiency, and risk detection, protecting financial services sectors and critical infrastructure against unknown threats. ThetaRay’s core technology is based on state of the art algorithms, which power its proprietary Hyper-Dimensional, Multi-Domain Big Data Analytics platform. Organizations whose operations rely on highly heterogeneous and complex environments leverage ThetaRay’s unmatched detection and low false positive rates as a see-all power that enables them to unify detection and defeat the unknown.Detect and Mitigate Operational Risks in The Financial Sector
The financial sector is facing constant escalation of internal and external threats. The growing variety of service channels and the unique risks tied to each, complex internal operations as well as stringent regulatory requirements, together add to the challenge of managing and mitigating operational risks.
The existing set of solutions for the detection of risks are based on legacy, rule-based approaches, which are costly to operate and require pointed expertise.
ThetaRay’s cutting edge solution suite helps financial organizations detect operational risks like: fraudulent activity, insider threats, money laundering and a broad range of abnormal business processes, rapidly and accurately to save costs, lower risks, and prevent impact to the organization.
THETARAY’S SOLUTION
Introducing new thinking to the detection of operational risks. ThetaRay helps organizations like yours detect and mitigate unknown risks before impact to services, operations, compliance and reputation can occur.
Detect External and Internal Fraud
Fraud is one of the most impactful problems the financial sector faces, expressed in hard costs, reputational damage and reduced customer loyalty.
ThetaRay helps financial organizations detect unknown fraud risk with extremely low false positive rates. Some examples are:
Fraudulent transactions
Fraudulent credit applications
Credit card fraud
Internal fraud
