Mobile Threat Intelligence Services & Solutions

The four types of threat intelligence are: Strategic (high-level trends and risks for executive decision-making), Tactical (information about attacker TTPs—Tactics, Techniques, and Procedures), Operational (details about specific incoming attacks or campaigns), and Technical (low-level indicators like malicious IPs, file hashes, and malware signatures). Protectt.ai's platform delivers all four layers, with a focus on operational and technical intelligence for mobile environments.

A common example is a man-in-the-middle (MITM) attack, where an attacker intercepts communication between a mobile app and its server to steal credentials or financial data. Other examples include malware-infected apps, SMS-based OTP interception, jailbroken/rooted device exploitation, reverse engineering of app source code, and phishing via malicious web links in SMS messages—all of which Protectt.ai's platform actively detects and mitigates in real time.

Mobile threat intelligence tools typically include Runtime Application Self-Protection (RASP) engines, behavioral analytics platforms, device risk scoring systems, network traffic analyzers, malware scanners, and centralized threat dashboards. Protectt.ai offers an integrated suite of such tools—including AppProtectt, MProtectt Biz+, AppAuth, and SDK Protectt—providing end-to-end visibility and automated response across the entire mobile app and device lifecycle.

RASP is a security technology embedded directly into an application that monitors and protects it from within during runtime. Unlike perimeter-based defenses, RASP detects and blocks attacks—such as runtime hooking, code injection, and app tampering—as they occur, without requiring network-level intervention. For mobile apps handling financial transactions, RASP is critical because it provides in-app defense even when users operate outside secured corporate networks.

Unlike traditional solutions that rely on static signatures or perimeter defenses, Protectt.ai's AI-native platform provides adaptive, real-time threat intelligence by continuously learning from behavioral patterns, device telemetry, and global threat data. It delivers 100+ security features including RASP, code obfuscation, Silent Mobile Verification, and zero-trust device binding—all through a lightweight SDK with zero performance overhead, purpose-built for banking, fintech, and enterprise mobile apps.

Protectt.ai serves Banking, Insurance, NBFC, FinTech, Government, Stock Trading, and Asset Management sectors. The platform is certified under ISO 27001, ISO 42001, PCI DSS, and ISO 22301. It also provides dedicated compliance support for RBI Digital Payment Security Controls, SEBI Cybersecurity and Cyber Resilience Framework, and NPCI Security Controls on SIM and Device Binding—helping organizations meet evolving regulatory mandates without slowing down app development.

Protectt.ai's solutions are delivered as lightweight, easy-to-integrate SDKs for both Android and iOS. Most integrations can be completed rapidly with minimal engineering overhead, as the platform is designed to plug into existing mobile development workflows. The no-code engine for code obfuscation can process compiled APKs and AABs in minutes, while AppProtectt and AppBind support seamless API-based integration with existing authentication and payment channels.

The centralized threat dashboard provides real-time visibility into device risk scores, active threats, behavioral anomalies, compromised device alerts, and compliance posture across your entire mobile app fleet. It surfaces actionable intelligence including audit trails, system-level change reports, and threat trend analytics. Security and compliance teams can use it to configure detection rules, review incidents, and generate automated reports—significantly reducing manual monitoring effort and audit preparation time.