Real-Time Mobile App Threat Detection for Banking Insurance and Fintech Applications

Protectt.ai's mobile threat detection system monitors apps in real time using Runtime Application Self-Protection (RASP) and AI/ML threat intelligence. It detects and blocks threats including runtime hooking, app tampering, reverse engineering, MITM attacks, rooted or jailbroken device exploitation, malicious app spoofing, and SIM-swap fraud—all without degrading app performance or user experience.

The platform integrates as a lightweight SDK into your Android or iOS banking app. Once live, it continuously monitors runtime behavior, device integrity, network traffic, and user activity. When a threat is detected—such as a hooking framework or a compromised device—it triggers an automated response including blocking, alerting, or session termination, all within milliseconds.

Yes. Protectt.ai's threat detection SDK is fully compatible with both Android and iOS. It supports apps built in Java, Kotlin, Objective-C, Swift, React Native, and Ionic, making it straightforward to integrate into virtually any existing mobile banking, insurance, or fintech application without requiring a full rebuild.

No. Protectt.ai is engineered for zero performance overhead. The SDK is lightweight and optimized to run security checks in the background without impacting app load times, transaction speeds, or UI responsiveness. This is a core design principle ensuring that security does not compromise the end-user experience in financial applications.

The platform provides pre-built security controls aligned with RBI Digital Payment Security Controls, SEBI Cyber Resilience Framework, NPCI SIM and Device Binding requirements, PCI DSS, ISO 27001, and ISO 22301. Automated policy enforcement and audit-ready reporting reduce manual compliance workload by up to 80%, helping financial institutions stay ahead of evolving regulations.

The system detects and prevents a wide range of financial fraud including account takeover via credential stuffing, OTP interception, SIM-swap attacks, transaction fraud through MITM attacks, app spoofing, malicious repackaged app installations, and social engineering attacks targeting device binding. AI-driven user behavior analytics also identify anomalous transaction patterns in real time.

Integration is designed for speed and simplicity. The Protectt.ai SDK uses a no-code or low-code integration model, allowing most development teams to complete integration within days rather than weeks. The platform also provides dedicated technical support and documentation to ensure rapid deployment with minimal disruption to existing development workflows.

Protectt.ai serves the full spectrum of financial organizations—from enterprise banks like RBL Bank and Yes Bank to fintech platforms, NBFCs, and small finance banks. AppProtectt Lite offers a cost-effective subscription model for organizations looking to access enterprise-grade security without the overhead of building security capabilities in-house, making it accessible for growing fintech companies.