Our solutions
Designed for businesses struggling with fragmented data and regulatory barriers that limit insights, slow innovation, and make collaboration across teams and partners inefficient.
Shared
Signals
By safely exchanging an array of signals indicative of potential wrongdoing—such as blacklisted entities, unusual user behaviors, detailed device intelligence, and atypical transaction patterns—organizations can substantially bolster both the swiftness and precision of fraud detection strategies.
Through this collaborative approach, businesses gain immediate access to broader, more diverse data sets, enabling them to more effectively pinpoint emerging risks.
As a result, every phase of the fraud lifecycle becomes more resilient, from the initial identification of suspicious activity to the ultimate resolution and prevention of future incidents.
By taking advantage of cutting-edge data-sharing solutions, payment operators, telecom companies, and financial institutions can pool their insights to collectively examine atypical behavior.
This cooperative approach not only refines fraud detection models but also preserves data sovereignty and adheres to regulatory requirements, ensuring that sensitive information remains protected while enhancing overall security measures.
Joined Analytics
Collaborative Intelligence
When companies in diverse sectors come together to share strategic intelligence, they gain a more comprehensive view of the financial crime landscape.
By uniting key insights and evidence, they can uncover complex cross-platform fraud schemes, enhance anti-money laundering (AML) measures, and proactively anticipate emerging criminal tactics.
This collective effort not only streamlines the detection process but also empowers organizations to act swiftly and maintain a resilient defense against evolving threats.