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Security is our top priority. Kyligence features a robust defense system encompassing architecture, implementation, and operations to deliver the highest levels of service security possible. In practice, Kyligence's security strategy meets the strictest requirements of our enterprise customers.
Kyligence is dedicated to ensuring data security for all, both on-premises and on the cloud, offering users streamlined enterprise-grade security management capabilities and customizable security policies that include end-to-end data encryption, controls for row and column-level data permissions, data backup, and recovery.
Kyligence's Network communication supports SSL/TLS encryption protocol and complies with international encryption standards.
Provide data backup and recovery mechanisms across multiple levels, allowing users to recover quickly from potential failures.
Cloud-based components of Kyligence are built on Amazon AWS, Microsoft Azure, HUAWEI CLOUD, and other large public cloud infrastructures. They provide comprehensive and reliable security assurance and are compliant with global and national or regional standards and certifications such as PCI-DSS, HIPAA/HITECH, and FedRAMP.
To protect users' information security, Kyligence requires that all access service requests pass identity verification.
On-premises, Kyligence supports integration with OpenLDAP or third-party identity verification services for user identity verification. On the cloud, Kyligence can seamlessly integrate with services such as Azure Active Directory to verify user identities based on the users of existing directory services.
Learn the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability, and security for your data engineering and analytics workloads on the cloud.
Learn how you can optimize your cloud data lake for both business value and cost, and accelerate your time-to-insight.
Help your business go from data to insight faster than ever with this guide to updating your IT and analytics environment in the age of Big Data.
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