A broad overview of data security best practices for organizations, covering four main areas: identifying and classifying sensitive data using tiered systems (Public, Internal, Confidential, Highly Confidential), establishing operational security measures including MFA and access controls, implementing continuous monitoring with KPIs and automated tools, and leveraging AI/ML and DLP technologies. Statistics cited include 72% of U.S. federal agencies using MFA, 88% reduction in phishing success with MFA, and potential $1.8M savings per breach with improved detection. The post also promotes Decube's Data Trust Platform as a solution for metadata management and data observability.
Table of contents
IntroductionIdentify and Classify Sensitive DataEstablish Robust Operational Security MeasuresImplement Continuous Monitoring and AssessmentLeverage Advanced Technologies for Enhanced SecurityConclusionFrequently Asked QuestionsList of SourcesSort: