Protectt.ai unveiled the latest version of its mobile security platform on Tuesday in Dubai, aiming to capture a slice of the Gulf’s fast-growing digital banking market. The upgraded AppProtectt tool combines real-time threat monitoring with behavioural analysis, promising to catch fraudsters before they drain customer accounts.
The timing matters. Mobile banking apps have become the primary touchpoint for financial services across the Gulf Cooperation Council, where regulators are tightening requirements around app-level security and customer data protection. Protectt.ai works with banks, insurers and financial services firms to shield high-risk mobile applications from tampering and fraud.
At the heart of the new release sits Runtime Application Self-Protection—technology that lets apps defend themselves while running on customer devices. Layer on AI-driven behavioural monitoring, and the platform can spot when something feels off: a login from an unusual location, navigation patterns that don’t match the user’s history, or network activity that signals compromise.
“As mobile apps become the primary interface between enterprises and customers, security must evolve beyond static controls,” said Manish Mimani, founder and chief executive of Protectt.ai. “The latest version of AppProtectt combines behavioural intelligence, adaptive runtime protection, and deep visibility to help organisations across the Middle East stay ahead of modern cyber threats while meeting stringent compliance and trust requirements.”
The platform operates across both Android and iOS, applying policy-driven controls that adapt based on risk signals. If a device shows signs of rooting or jailbreaking, the app can restrict functionality. Abnormal network behaviour triggers alerts. Suspicious user patterns get flagged before transactions complete.
For enterprises, that translates to protection without requiring code overhauls. Integration happens through low-code implementations, and policies adjust dynamically based on threat intelligence—no app store resubmissions needed when security rules change.
Pushkar Singh, who heads Protectt.ai’s operations across the Middle East and Africa, framed the launch in regional terms. “The enhanced capabilities align with our objective of addressing evolving threats and enabling enterprises in the GCC to meet regulatory mandates for secure mobile app usage,” he explained. “This next generation version is a strong testament to Protectt.ai’s commitment to safeguarding financial transactions and protecting customer data in the region.”
The Middle East launch reflects broader pressure on financial institutions to lock down mobile channels. Regulators across the GCC have ramped up expectations around application security and data protection, pushing banks to demonstrate they can prevent fraud and maintain customer trust in increasingly hostile threat environments.
AppProtectt’s behavioural monitoring tackles threats that traditional security layers miss. Static code analysis can catch known vulnerabilities, but it struggles with sophisticated attacks that exploit legitimate app functionality or manipulate user sessions. Behavioural intelligence watches how users actually interact with apps, building profiles that make anomalies visible.
The platform also addresses device integrity—a persistent headache for mobile security teams. Compromised devices running modified operating systems can bypass many conventional protections. AppProtectt’s runtime checks verify device state continuously, not just at launch, and enforce policies that match the risk level.
Network-level safeguards add another layer. The system monitors connections for signs of man-in-the-middle attacks, suspicious proxies, or communication with known malicious infrastructure. When threats emerge, policies trigger automatically: blocking transactions, requiring additional authentication, or alerting security teams.
Protectt.ai positions itself as an AI-native security provider, extending beyond mobile app protection into AI system security. The company offers solutions for AI red teaming and model scanning alongside its mobile platform, targeting enterprises that need to secure both traditional applications and emerging AI deployments.
For banking and insurance clients, the value proposition centres on fraud prevention without friction. Overly aggressive security can frustrate legitimate users and drive them to competitors. AppProtectt’s behavioural approach aims to distinguish genuine customers from attackers, applying heavy-handed controls only when risk signals warrant intervention.
The compliance angle matters particularly in the Gulf, where financial regulators have moved quickly to establish frameworks around digital services. Demonstrating robust mobile app security has shifted from optional to mandatory for institutions operating in the region, making platforms like AppProtectt a regulatory necessity as much as a technical one.
Whether the enhanced version gains traction in the crowded mobile security market will depend partly on how it performs against competing RASP solutions and how effectively it integrates with the complex technology stacks financial institutions run. The regional focus gives Protectt.ai a foothold in markets where mobile-first approaches have leapfrogged traditional banking infrastructure.
By Tuesday evening, the platform was available to enterprises across the Middle East. The question now is whether banks and insurers will bet on behavioural intelligence to outpace the next wave of mobile fraud.
