Cloud is the latest buzzword across the IT environment. Organizations are flocking in for migrating their business platforms from legacy systems to the cloud because the cloud ecosystems can provide advanced analytics for modern techniques like Machine Learning, Artificial Intelligence, Data Analytics, etc. It is also a scalable, flexible, and cost-effective solution that can provide quick and easy access.
But one of the concerns about the cloud is around cloud and data security, especially during the cloud migration process.
Today’s data-driven business world demands flexibility in terms of availability and accessibility of data across different platforms. As cloud infrastructure can be shared among multiple users, data accessibility in the cloud is a concern. Organizations use several technologies and multiple platforms like the public, private and hybrid cloud which can make it difficult to monitor data, detect anomalies and control unauthorized access. Now, reputed cloud vendors like Google Cloud, Microsoft Azure and Amazon Web Services (AWS) have solved these problems by implementing access control mechanisms. However, some underlying glitches must be carefully handled during cloud migration and implementations.
Data leakage:
The flow of confidential business-critical information out of your on-premise environment is known as Data Leakage. Data Security of organization can be at stake if Data Leakage occur:
Data loss:
Data loss in business can occur because of
Service unavailability:
Securing the cloud ecosystem is crucial to save business-critical information such as corporate and customer data. Any loss in data can adversely affect the organization’s reputation with heavy penalties.
Hence, implementing appropriate controls such as data encryption, data masking, data ingestion security, access control, authentication and authorization, access node security, firewall installation etc. can ensure data confidentiality and integrity, thus securing your cloud ecosystem effectively.
It is critical to ensure optimum checks while migrating the data, to ascertain a secured foundation of your modern data platform.
Datametica helps in data warehouse migration, modernization and building highly secured data lakes and analytics solutions on the cloud.
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A Global Leader in Data Warehouse Modernization & Migration. We empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
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