Collaborative Intelligence
Strengthening defenses against financial crime with communal insights
Financial crime can sweep across multiple institutions in days, yet collaborative data sharing remains limited.
Scammers reuse playbooks and exploit new tech, hopping between channels or funneling stolen funds into repeat accounts. The FBI reported over $16B in fraud losses in 2024, up 33% from the year before.
Collaborative Intelligence turns individual occurrences into a safety net for the entire PayLynxs ecosystem.
1
Institutions anonymously contribute verified data to the shared pool of intelligence.
2
AI-enhanced analysis detects cross-institutional patterns that may otherwise go unnoticed.
3
High-value alerts and recommendations generate for review. No action is taken without user input.
Reduce risk and build operational resilience with insights backed by real evidence, not speculative assumptions.
Peer Fraud Network
Detect fraud with early warnings.
When an institution reports fraudulent activity, the whole network is alerted to similar patterns. One institution’s red flag becomes another’s early warning.
Peer Recommendation Module
Fill gaps in compliance monitoring.
Recommendations are generated based on successful compliance monitoring strategies, strengthening operational oversight and adaptability.
Data sharing adheres to strict privacy standards, industry best practices, and institution-controlled permissions.
Data is encrypted and securely stored
Institutions control what they share
Data is never sold or used for marketing
Identifying institution data is anonymized
Individual names are never shared
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