User Contribution: To stay adaptive to evolving threats and improve its capacity to detect voice phishing threats, the system incorporates a user contribution-based data collection system. This system relies on users' voluntary participation and sharing of anonymized data about flagged calls with the cloud-connected database. For example, if a user marks a call as "phishing," the system will store and analyze anonymized auditory patterns and key linguistic markers from the flagged call. These contributions help the system update its algorithms and expand its knowledge of new phishing tactics.
To encourage user participation in the data collection system, the platform will offer rewards such as subscription discounts, enhanced features, or priority customer support.Â
Additionally, the community news report section of the app encourages user engagement by providing real-time updates on new fraud tactics, success stories of thwarted scams, and educational resources. Users who contribute valuable information to the database, such as reports of phishing attempts or feedback on system performance, can share their insights with the broader community. This fosters collaboration and mutual benefit, encouraging users to actively participate in improving the system.
Subscription: The system will operate under a profit-based business model, offering subscription services to individuals and enterprises. Individual users will pay a monthly or annual fee for the app, which includes regular AI updates and enhanced protection features. Enterprise customers will subscribe to the SaaS platform, integrating the system into their communication systems for fraud prevention. The pricing for individual and enterprise subscriptions will be set to ensure affordability, making it accessible for anyone interested in preventing fraud. Although specific clients exist for the innovation, anyone who wishes to prevent fraud can subscribe for security.