Mistakes to avoid for Cloud Security

Cloud security of the cloud infrastructure in an IT organization is the main concern today since most businesses are interested to utilize cloud based infra. So, we must ensure we do not repeat the same mistake as most businesses do. Below are top 5 security myths and guideline for to understand for implementing robust cloud security in an IT infrastructure. 

These 5 cloud security mistakes are the top-most reason that can allow a hacker to breach the data. In the last few months, ransomware attacks were reported targeting big to midsize enterprises, including government agencies. In 95% of the cases, cloud breaches occur due to mismanagement at the customer end rather than the cloud service providers.

If you use any cloud service models, instead of making the same mistake listed below, you must ensure that you appropriately strengthen them and increase your cybersphere protection to a great extent. 

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Serverless is secure - Is it?

Programming errors provide opportunities for the attacker to compromise a serverless environment. You might not have to manage infrastructure security, but if your code on AWS Lambda or Azure function is vulnerable, you are responsible for application and configuration security.

Shared responsibility model – Misconception

Cloud security comes at a shared responsibility model. Depending on the cloud service, the tenant is responsible for maintaining security for data at rest, data in transit (in some cases), application management, infrastructure management.

Regular auditing and monitoring

Implement Security Operation Center to monitor your assets closely for breaches. Incorporate canaries for breach detection and log the actions (not the data) for Incident Response

Responsible Patch management

It ties back to the shared responsibility model, but it deserves its own space here. If you have a self-managed infrastructure, you need to have a comprehensive vulnerability management program, including assets discovery, AuthN & UnAuthN scanning, and patching regularly.

Data Storage

Avoid storing different classification of data together in the same storage. Similarly, segment your network, such as VPCs, according to business needs. E.g., Use a different VPC for Dev, QA, and Prod environment. Don't forget to follow the principle of Need to know and least privileges.