AI Security for Mobile-First Enterprises in Banking and Fintech

AI security refers to the use of artificial intelligence and machine learning technologies to detect, prevent, and respond to cyber threats in real time. In the context of mobile-first banking and fintech, it means continuously analyzing behavioral patterns, device signals, and transaction data to identify anomalies—stopping fraud, malware, and account takeovers before they cause harm, without disrupting the customer experience.

Protectt.ai deploys a full-stack, AI-native platform that includes Runtime Application Self-Protection (RASP), code obfuscation, zero-trust device and SIM binding, behavioral fraud detection, and real-time threat intelligence. Delivered as a lightweight SDK for Android and iOS, it integrates seamlessly into existing apps without requiring architectural changes or creating performance overhead for end users.

Runtime Application Self-Protection (RASP) embeds security directly into the application at runtime, enabling it to detect and block attacks as they occur—even when the app is deployed outside the corporate network. For financial apps, this means protection against runtime hooking, app tampering, reverse engineering, and business logic manipulation that traditional perimeter security cannot address.

Yes. Protectt.ai provides built-in compliance support for key financial regulations including RBI Digital Payment Security Controls, SEBI Cyber Resilience Framework, NPCI SIM and Device Binding mandates, PCI DSS, ISO 27001, ISO 22301, and ISO 42001. Automated policy enforcement and report generation can reduce manual audit preparation time by up to 90%, helping institutions stay continuously compliant.

Silent Mobile Verification (SMV) is a password-less authentication protocol that verifies mobile number possession by initiating a cryptographic handshake between the device's SIM and the mobile network operator—entirely in the background. This eliminates OTPs, which are vulnerable to social engineering and SIM swap attacks, delivering both stronger security and a completely frictionless login or transaction experience for end users.

Yes. Protectt.ai's solutions include rooted device detection for Android and jailbreak detection for iOS. When a compromised device is identified, the platform can enforce configurable risk policies—such as restricting transactions, alerting administrators, or blocking access entirely—preventing attackers from exploiting privileged device access to bypass security controls within banking and fintech applications.

AI Red Teaming is an automated adversarial testing process that simulates real-world attacks against your AI systems and ML models to expose vulnerabilities before malicious actors do. For banking and fintech enterprises deploying AI in fraud detection, credit scoring, or customer decisioning, it is essential to verify that these models cannot be manipulated, poisoned, or bypassed by sophisticated adversaries targeting critical financial infrastructure.

Protectt.ai is delivered as a lightweight SDK for both Android and iOS, designed for rapid integration with minimal engineering effort. Most implementations can be completed in days rather than weeks, with no-code options available for code obfuscation and app protection features. The platform is built to minimize development overhead while delivering enterprise-grade security across all supported mobile frameworks including React Native, Ionic, Swift, and Kotlin.