Organizations have accomplished industry trans formations through decentralized blockchain systems which operate under full transparency. The fundamental issue that blockchain networks currently face is protecting privacy together with security. Researchers investigate how Secure Multi Party Computation (SMPC) functions as a solution to overcome blockchain network privacy and security issues. More than one organization operating together through SMPC ensures they can work on computational tasks without sharing personal data information. The research provides detailed information about various SMPC methods which integrate with blockchain platforms through investigating their performance characteristics alongside performance capabilities and security implementation. The research presents both implementation and design details about SMPC solutions for actual blockchain applications which demonstrate the capability to enhance decentralized privacy as well as system efficiency. The paper delivers an evaluation process that reveals both the benefits and drawbacks of SMPC blockchain deployments to direct the development of advanced secure and private blockchain platforms.