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Source AlienVault.webp AlienVault Blog
Identifiant 1866372
Date de publication 2020-08-17 11:00:00 (vue: 2020-08-17 11:13:01)
Titre Cloud security
Texte Introduction / Overview There’s no doubt that the adoption of public cloud deployments has accelerated for most organizations recently. In fact, according to metrics released by Oracle recently, nearly half (49%) of all respondents to the Oracle and KPMG Cloud Threat Report expect to store most of their data in a public cloud by the end of 2020. Effectively managing the security and compliance of public cloud deployments can be tricky for many organizations. The same study revealed that 38% of the respondents indicated that detecting and responding to cloud security incidents is their number one cybersecurity challenge.   There are multiple factors that contribute to the issues associated with deploying and maintaining highly secure cloud environments. In this article we’ll explore three of the issues most often encountered: Shared responsibility model Lack of visibility Misconfiguration / Configuration Drift An exacerbating factor in all three common issues noted above is the lack of common terminology amongst components associated with the various public clouds as documented below:   Amazon Microsoft Google Cloud Name Amazon Web Services (AWS) Azure Google Cloud Platform (GCP) Machine Instance Virtual Machine (VM) Compute Instance Storage S3/EBS/Glacier Blob Storage Google Cloud Storage Serverless Code Function Lambda Azure Functions Cloud Functions In addition to the differing terminology for components between the various public cloud providers, also keep in mind that the individual components themselves often require broad capabilities to effectively monitor and provide the security to maintain the various components within a cloud deployment. For instance, the machines deployed within the cloud may be most effectively monitored using conventional solutions often used in traditional on-prem deployments. T
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