AI Security
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Project overview
An enterprise risk intelligence platform engineered for financial institutions handling high-volume transactional traffic. It combines behavioral biometrics, rules engines, and machine-learning scoring to stop fraud before settlement.
Client
CrownBank Zimbabwe
Industry
Financial Services
Delivery timeline
6 weeks
Support window
12 months priority support
Feature set
Real-time anomaly scoring under 200ms
Analyst case queue with evidence trail
Customer risk profiling and velocity checks
Automated escalation to SOC and SMS alerts
Measured outcomes
Reduced card fraud losses by 41%
Cut manual review workload by 58%
Improved dispute resolution time by 2.1x