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LogSentinel is an advanced security intelligence platform that proactively detects data misuse within MOM through near real-time monitoring and alerts business representatives of potential violations, with capability for adoption across other public agencies
Alex CH Ong, Sean Yap, Budiman, Thau Huang Thien, Nicholas Tan
In today's digital landscape, MOM's reliance on manual log reviews for data misuse detection represents a significant operational challenge. Despite having comprehensive system logs across their infrastructure, the current process requires staff to manually sift through vast amounts of data - a time-consuming and potentially error-prone approach that leaves the organisation exposed to oversight risks. This manual dependency poses a significant risk to Singapore's institutional integrity and public trust, particularly given MOM's role in handling sensitive workforce and employment data.
Our solution introduces an automated detection system, with MOM's Chief Data Officer (CDO) designating five critical source systems requiring these capabilities - a clear validation of this project's strategic importance and immediate operational need. Through extensive engagement with these systems, we've identified that while audit logs exist in both on-premises and GCC application servers, there's a crucial missing link in proactive monitoring. Our innovative approach transforms this landscape through a unified deployment package that simplifies implementation and introduces automated alert mechanisms, ensuring immediate response to potential data misuse.
This transformative initiative represents more than just a technological upgrade - it's a strategic imperative for safeguarding Singapore's data integrity. By implementing automated detection and alert systems, we're not only addressing current vulnerabilities but also establishing a robust framework for future systems integration.