A major Brazilian bank faced the continuous challenge of evolving fraud attempts, where criminals were developing and sharing new methods of CPF (Brazilian Tax ID) testing and exploitation in real-time through messaging groups. Traditional detection methods were too slow to catch these emerging threats in their early stages.
The Solution
ZenoX deployed its advanced Vydar platform powered by TellyuAI, delivering three core capabilities:
- Real-time monitoring and analysis of group discussions
- Natural language understanding of fraudster terminology
- Automated pattern recognition of emerging fraud methods
Breakthrough Results
The implementation showed immediate impact through:
- Detection of new fraud methodology within seconds
- Instant understanding of CPF testing patterns
- Immediate notification to security teams
- Prevention of method implementation at scale
Key Advantages
Intelligence and Speed
- Seconds-level detection of new patterns
- Advanced contextual understanding
- Immediate threat response system
Proactive Prevention
- Early-stage threat detection
- Method-specific countermeasures
- Continuous learning system
Impact
The solution demonstrated significant outcomes:
- Protected customer CPF data from unauthorized testing
- Prevented new fraud methodology deployment
- Enhanced understanding of criminal tactics
- Established new standard for fraud prevention speed
Conclusion
This case demonstrates how combining advanced AI capabilities with real-time monitoring creates a powerful shield against emerging fraud threats. By detecting and understanding new fraud methodologies in seconds, Vydar has established a new benchmark in proactive financial security, protecting both the bank and its customers from evolving threats.