Cloud DLP: Securing Sensitive Data Across Modern Cloud Environments Cloud Data Loss Prevention (Cloud DLP) has become a critical component of modern cybersecurity strategies as organizations increasingly migrate data, applications, and workloads to cloud environments. Cloud DLP refers to a set of technologies, policies, and processes designed to identify, monitor, and protect sensitive data stored, processed, or transmitted through cloud platforms. Unlike traditional on-premises DLP solutions, Cloud DLP is built to handle the dynamic, scalable, and distributed nature of cloud infrastructure, ensuring data security without compromising business agility. Source - https://www.marketresearchfuture.com/reports/cloud-dlp-market-31832 One of the core objectives of Cloud DLP is data visibility. Organizations often struggle to track where sensitive information such as personally identifiable information (PII), financial records, intellectual property, or healthcare data resides in the cloud. Cloud DLP solutions continuously scan cloud storage, SaaS applications, and data flows to classify and label sensitive data. This visibility enables security teams to understand data movement, reduce shadow IT risks, and enforce consistent security policies across multiple cloud services. Another key function of Cloud DLP is policy enforcement and threat prevention. Once sensitive data is identified, Cloud DLP tools apply predefined or customized policies to prevent unauthorized access, sharing, or leakage. These policies can block risky actions, such as downloading confidential files to unmanaged devices, sharing data externally, or uploading sensitive information to unsanctioned applications. Advanced Cloud DLP platforms also leverage machine learning and behavior analytics to detect unusual user activities that may indicate insider threats or compromised accounts. Regulatory compliance is a major driver for Cloud DLP adoption. Industries such as banking, healthcare, retail, and government must comply with strict data protection regulations and standards. Cloud DLP helps organizations meet these requirements by providing automated monitoring, audit trails, and reporting capabilities. By ensuring sensitive data is handled according to regulatory guidelines, organizations can reduce compliance risks, avoid penalties, and build trust with customers and partners.