International Journal of Science, Engineering and TechnologyAuthors: Maninder Randhawa
Abstract: The enforcement of data compliance in hybrid Unix-based multi-cloud environments poses unique challenges, especially when coupled with the demands of customer relationship management (CRM) platforms such as Salesforce. Traditional compliance frameworks often struggle to keep pace with distributed infrastructures, regulatory complexity, and the need for real-time enforcement. This review explores the integration of Tripwire’s file integrity monitoring and compliance assurance with Salesforce AI Agents’ intelligent automation capabilities, providing a comprehensive framework for seamless data governance. The article examines the operational role of Tripwire in maintaining configuration integrity across Unix systems, while highlighting how Salesforce AI Agents extend compliance by automating workflows, enforcing data policies, and enabling predictive anomaly detection within CRM processes. Key areas discussed include compliance orchestration in multi-cloud ecosystems, cross-platform integration challenges, and AI-driven approaches to proactive enforcement. Case studies and industry applications demonstrate how this synergy not only strengthens data integrity and regulatory alignment but also enhances scalability and resilience in enterprise environments. The review concludes with a forward-looking perspective on autonomous compliance frameworks, where self-healing infrastructures powered by AI and integrity monitoring create an adaptive, future-proof compliance model.
DOI: https://doi.org/10.5281/zenodo.17367719
