Cloud security is all about policies, controls, technologies, and services to protect cloud data and information from threats. So, it is the collection of technology and procedures that can address both internal and external threats to the company's business security. Every enterprise needs cloud security to progress ahead of its digital transformation while incorporating advanced tools and cloud computing services as an active part of its infrastructure. In addition, it helps in offering native accelerators that can specify the controls and security capabilities for easy and faster deployments.
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1. What are the security laws implemented for securing data in the cloud?
The five laws essential for securing data in the cloud are:
- Input validation the governs controlling the input data which is being entered into the system
- Processing, where data is processed appropriately and entirely in the application
- Output reconciliation is used for controlling the data from input to output
- Backup and recovery for securing the data to prevent data breaches
- File, for controlling the data manipulation in any file type
2. Responsibility of an organization in securing digital assets on the cloud
Even if you hire a cloud security provider, replacing the on-premise physical infrastructure with a cloud-based environment will always require appropriate measurements that the enterprises take. In addition, it is essential for safeguarding storage, servers, data, and other applications along with the cloud platform.
Cloud service providers will offer you robust security controls. But it is the organization's responsibility to leverage those controls efficiently to protect its digital assets on the cloud. An example of Amazon Web Services highlights how both parties involved can divide the responsibility for securing data in the cloud.
3. Strategies for securing data during and after cloud migration
Enterprises need a solid cloud security framework to address potential security threats and challenges adequately. A well-defined framework will help safeguard data network, applications, and the IT infrastructure from data breaches and malware attacks.
For enterprises dealing in industries like financial services, healthcare, and insurance, create a security framework that acts according to the equivalent regulatory compliance changes. For example, PCI DSS, GDPR, GLBA, HIPAA, and other region-specific regulations often require companies to follow strict security rules for handling the customer data like PFI, PHI, PII, etc. Adhering to these regulations gets more manageable with a competent security and governance framework.
4. Security risks every organization should avoid during cloud migration
Cloud is secure and is one of the best ways to mitigate threats and data breaches. But migrating your sensitive enterprise data and information to the cloud can also face a few security threats, for which your organization needs to get prepared, which are:
- Insecure interfaces or APIs
- Vulnerable access controls
- Account hijacks
- Insider threats
- Data loss, breaches, and leakage
- Misconfiguration of the cloud platform or wrong setup
5. How to prepare for cloud migration?
Before moving to the cloud, the business needs to classify their sensitive data into relevant categories, namely, public, private, and restricted. These are to be done in terms of their value and how critical the data is for the company's business.
Data classification is essential for dealing with compliance issues, risk management, and data security. It also enables the company and its employees to access and search the stored data for retrieving within a stipulated period. To deal with this complex process:
- Determine data classification categories and criteria properly
- Define your company’s objectives
- Outline the roles and responsibilities of your employees as per the company protocols
- Implement security standards according to the data categories
6. Which platforms are meant for large-scale computing?
Map Reduce and Apache Hadoop are ideal for large-scale cloud computing. Apache Hadoop is an open-source platform that is written in Java. Map Reduce refers to the software built by Google to support distributed computing.
7. How to deploy cloud computing with diverse models?
Different models are available for deployment in cloud computing. Some of these are private cloud, hybrid cloud, public cloud, and community cloud.
8. What does a user gain from utility computing?
The main benefit of utility computing is that the user can pay only for what he decides to use. It is just like the plug-in that can be managed by the organization depending on the services required to be deployed from the cloud.
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