Enterprise Watermarking & Insider-Threat Protection Platform

About the Client

UAE-based next-generation enterprise software provider delivering insider-threat protection and dynamic watermarking solutions for screen and print outputs. Their technology is deployed across high-security sectors such as banking and financial services, manufacturing and petrochemical, healthcare and government, where preventing data exfiltration and ensuring regulatory compliance are critical.

Objective

To design and implement a single extensible C++ codebase that serves as the cross-platform driver framework for the Client’s agent on Windows, Linux and macOS, and validate its functionality through comprehensive testing.

Solution

The solution installs as a lightweight multi-OS agent (Windows, Linux, macOS) to prevent insider threats and data leaks by enforcing policies at the OS level. Out-of-the-box capabilities delivered from a single platform include:

• Screen Watermark: real-time, user-specific dynamic marks on all on-screen content to trace leaks

• Printing Watermark: unique, audit-ready marks on printed documents

• AntiCopy & PrintScreen Prevention: blocks copy/paste and screen-capture tools

• MobileMark: persistent, non-removable watermarking on Android devices

• WebMark: SDK for embedding watermarks into proprietary web applications

These features ensure clear data ownership, full forensic traceability and regulatory compliance in multiple domains. Altabel’s C++ developer contributed to:

• Developing cross-platform core: he populated and extended the unified C++ codebase that underpins the agent on all three operating systems 

• Creating driver skeletons: he built minimal OS-specific “skeleton” drivers for Windows, Linux and macOS that load and exercise the shared core library

• Testing: he executed comprehensive unit and integration tests against the core library and its driver skeletons to validate correct driver loading, event interception and runtime stability

Result

The C++ developer remains embedded in the project, continuously delivering performance and stability enhancements. His work improved end-to-end processing throughput and reduced error rates in production by automating thread-recovery logic. As a result, the client is considering expanding the team with additional specialists to speed up feature delivery and further strengthen the platform.