Model-Based Systems Engineering (MBSE) is now essential to designing complex products across industries —from aircraft and defense systems to automotive platforms. These digital models increasingly embed valuable intellectual property, including critical requirements, proprietary interfaces, algorithms, and parametric equations. Sharing such sensitive content across organizational boundaries is needed but creates significant IP risks.

Currently, MBSE practitioners face a dilemma: either openly share sensitive IP or severely limit collaboration, sacrificing traceability and productivity.

To solve this, a plugin-based encryption framework for Cameo Systems Modeler has been developed. The solution provides precise and reversible protection of sensitive model information, enabling selective encryption of element names, stereotypes, custom tags, parametric constraints, and requirements—without breaking model structure or traceability.

Unlike traditional obfuscation, this method maintains full semantic interoperability, supports role-based decryption, multiple encryption sessions, and comprehensive audit logging.

This work addresses a critical gap in current MBSE toolchains, allowing secure, controlled collaboration without compromising usability and compliance. It provides a scalable approach essential for industries dependent on effective and secure multi-organizational collaboration, bridging the existing gap between technical collaboration and IP protection.