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Home AI

Protectt.ai Launches New version of AI & Behaviour driven, Mobile App Security Platform

SmartSolutionUser1 by SmartSolutionUser1
December 11, 2025
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Protectt.ai Launches New version of AI & Behaviour driven, Mobile App Security Platform
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Protectt.ai, a leading AI-native Mobile App Security & Fraud Control Platform, announced the launch of the latest version of AppProtectt, its next-generation Mobile App Security platform offering advanced Runtime Application Self-protection (RASP) and AI-led Behaviour Monitoring.

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Protectt.ai’s innovative platform secures the mobile applications of leading Banking, Stock Exchange, and Insurance institutions across India. The new release introduces enhanced runtime protection capabilities and intelligent, policy-driven controls that empower enterprises to deliver safer, more reliable mobile app experiences to their users. 

As mobile applications continue to anchor banking, payments, insurance, and digital services across India, AppProtectt is engineered to provide higher accuracy, real-time responsiveness, and deeper visibility, enabling organizations to maintain trust, strengthen compliance, and ensure app integrity at scale. 

Designed for Customer Confidence, Built for Mobile-first Enterprises 

AppProtectt brings together multi-layered runtime protection, ensuring mobile apps function smoothly and securely—even in dynamic device and network environments. 

Key Advancements and Their Customer Benefits 

1. Intelligent Device Integrity Protection & Behaviour Monitoring 

  • Enhanced Root & Jailbreak Detection 
  • Detailed Rooting & Hooking App Identification 
  • Advanced Code Injection Detection 
  • User & Device Behaviour Monitoring 

Benefits:  Ensures applications operate with full integrity while continuously analysing behavioural deviations that signal fraud, automation, or malicious activity—delivering a consistent and secure digital experience across diverse mobile app ecosystems. 

2. Stronger Network & App-Level Safeguards 

  • Enhanced SSL Pinning 
  • Public Wi-Fi Network Identification 
  • Adaptive Screenshot/Recording Prevention 
  • Mock Location & Developer Settings Detection 

Benefits: Maintains secure app usage across varying network conditions, supporting uninterrupted and trustworthy experiences for end users.

3. Dynamic, Policy-Driven Adaptive Controls 

Available for both Android and iOS: 

  • Adaptive Runtime Actions 
  • Periodic In-App Warnings 
  • Corporate Certificate Whitelisting 

Benefits: Offers enterprises the flexibility to tailor in-app responses based on policy frameworks—without modifying application code—resulting in faster deployment and greater operational efficiency. 

Mr. Manish Mimani, Founder & CEO, Protectt.ai
Mr. Manish Mimani, Founder & CEO, Protectt.ai

Speaking on the launch, Mr. Manish Mimani, Founder & CEO, Protectt.ai said, “The release of AppProtectt’s latest version marks another significant step in our journey to secure the mobile app ecosystem. As fraudsters evolve, app security must evolve faster. With enhanced detection intelligence, behaviour monitoring and adaptive runtime protection, AppProtectt enables organizations to stay ahead of modern threats while meeting the highest standards of regulatory compliance and user trust.” 

Compliance-Ready and Developer-Friendly 

With increasing emphasis on application-level security from regulators such as the Reserve Bank of India (RBI), AppProtectt supports enterprises with: 

  • Seamless compliance alignment 
  • Low-code, rapid integration workflows 
  • AI-enhanced fraud detection capabilities 
  • Comprehensive Runtime Application Self-protection (RASP) 

The result is a resilient and self-defending mobile application environment, optimized for both enterprise teams and end users. 

If you have an interesting Article / Report/case study to share, please get in touch with us at editors@roymediative.com  roy@roymediative.com, 9811346846/9625243429.

Tags: Mobile App Security Platformof AI & Behaviour drivenProtectt.aiProtectt.ai Launches New versionsmart solutions world
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