Designing Enterprise Allegation Management Platforms with Privacy-Preserving Databases

Abstract

Enterprises increasingly face the challenge of managing allegations related to compliance, ethics, and workplace misconduct in a manner that is both efficient and secure. Traditional allegation management systems often lack the robust privacy safeguards necessary to protect sensitive data while ensuring transparency and accountability. This study proposes the design of an enterprise allegation management platform underpinned by privacy-preserving database architectures. The platform leverages advanced data protection techniques, such as secure multi-party computation, differential privacy, and encrypted query processing, to mitigate risks of unauthorized disclosure while maintaining system usability and scalability. By integrating privacy-preserving mechanisms into core database operations, the proposed framework addresses regulatory requirements, strengthens organizational trust, and ensures confidentiality for all stakeholders. The research contributes a novel design blueprint that balances operational efficiency, data protection, and ethical responsibility, providing enterprises with a sustainable and compliant approach to allegation management in the digital age.