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A strong cloud Data Loss Prevention (DLP) strategy helps organizations protect sensitive data from leaks, misuse, and cyber threats. It starts with clear data handling policies and proper data classification based on sensitivity. Organizations must identify data risks across cloud, network, and endpoints, and enforce controls using automation. Cloud DLP tools monitor, detect, and prevent unauthorized data movement. With rising cloud adoption, remote work, and compliance requirements, a well-planned DLP strategy is essential to maintain security, trust, and regulatory compliance.

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IoT Security Challenges That Every Organization Should Be Aware Of

IoT security testing services provide organizations with a structured, end-to-end approach to addressing IoT risks, starting with scoping and attack-surface mapping, followed by vulnerability analysis, exploitation simulation, and comprehensive reporting. Through methods such as firmware analysis, threat modeling, and full device-to-cloud penetration testing, Kratikal exposes hidden vulnerabilities in devices, communication channels, and back-end infrastructure.

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Kratikal For Startups | Compliance For Startups | Kratikal

Kratikal offers Security Compliance to Startups, designed to cater for unique needs of startups, ensuring data protection, without burdening