AI-driven compliance: The key to cloud security






The growth of cloud computing continues unabated, but it has also created security challenges. The acceleration of cloud adoption has created greater complexity, with limited cloud technical expertise available in the market, an explosion in connected and Internet of Things (IoT) devices and a growing need for multi-cloud environments.




When clients migrate to the cloud, there is a high likelihood of data security problems given that many applications are not secure by design. When these applications migrate to cloud-native systems, mistakes in configuration settings can create cybersecurity risks. Delays in implementing the security controls for client workloads occur during migrations, which compounds the issue. That’s why Gartner predicts that by 2025, 99% of cloud breaches will be caused by misconfigurations, most of which will be attributed to human error that could have been prevented.


Cloud security shared responsibility model


Based on the well-established cloud security shared responsibility model, customers and cloud service providers are both responsible for cloud security. The cloud service providers are responsible for the security “of the cloud,” while customers are responsible for security “in the cloud.” However, the extent of customer responsibility depends on the consumption model.


For the most part, the cloud service provider infrastructure is secure. However, there is a possibility of client-side data security issues, including cybersecurity and workload problems. Cloud misconfigurations happen when security settings are not properly configured, creating vulnerabilities that can be leveraged by external hackers using ransomware or insider threat actors exploiting security gaps.


Understand compliance monitoring


As a general ..

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