Real-time behavioral fraud scoring flagging anomalous account and call patterns
— Telecommunications Network Operations
Solving: SIM-swap and international revenue share fraud slipping past static rule-based systems
Machine Learning Architecture
Real-time behavioral fraud scoring flagging anomalous account and call patterns
Python, Kafka, PostgreSQL
Validated Business Impact
Improves telecom fraud detection rate by 36.3%
Technical FAQ
How does JSRRB Technologies solve SIM-swap and international revenue share fraud slipping past static rule-based systems?
We deploy real-time behavioral fraud scoring flagging anomalous account and call patterns. Typical result: improves telecom fraud detection rate by 36.3%.
What technology and security model powers this Telecommunications Network Operations solution?
The solution is engineered on Python, Kafka, PostgreSQL, deployed under JSRRB's zero-trust architecture so your proprietary Telecommunications Network Operations systems and data stay encrypted and are never exposed to public AI training models.
