FTP on AWS Cloud using AWS S3

File Transfer is the most important task when you do any business within your multiple offices or with the client or vendors. There are many ways and means to do the File/data transfer across the each other. But all you need is the security and the convenience of the data transfer. The convenient way to do the File/Data transfer is to configure the in-premises FTP server and share the credentials with vendor or Client to upload or download the data. There are many drawbacks in this old methodology, but it is the simplest solution available. Many companies are using the Google Drive, Dropbox, and other online services to move the data, but the paying huge money for such services too. The options to avail the service from Dropbox enterprise or Google Drive enterprise is fixed space with the fixed price. The more you need, the more you need to pay for fixed size. This becomes cumbersome when it reaches the limit of the data storage. Instead of using such paid service, if we use
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Amazon Macie adds Intellegent Security layer for AWS S3

AWS Simple Storage Service (S3) is most popular and widely used service provided by Amazon Web Services. AWS S3 becomes popular because of the Reliability, Durability, Scalability, and Security. Since the launch of the AWS S3 in Aug 2006, it never goes down. It is designed to deliver the 99.999999999% durability as promised by AWS. AWS S3 is scalable up to 5GB size per file and almost unlimited size of the storage.



Many companies are using the AWS S3 for data backup and Disaster recovery purpose, this shows the AWS S3 is the most secure place to keep the data for any company. AWS S3 follows all the Security compliances like PCI-DSS, HIPAA/HITECH, FedRAMP, SEC Rule 17-a-4, EU Data Protection Directive, and FISMA. Different types of methodology for encryption the stored data added an extra layer of security for any data stored on AWS S3. Addition to track the data access log, The AWS CloudTrail integration for AWS S3 and versioning help AWS S3 most suitable service to store the important data. what else needed in data security?

But Amazon has some other thought process to combine the data security with AI. Recently, Amazon added the 'Amazon Macie' to their service list. Amazon Macie is a security service that will be using the machine learning technology to automate the process of discovering, classify, and protect the sensitive data in AWS S3.

So, how this will work?


 Amazon Macie can Identify the data


Amazon Macie can identify data with high business value including programming languages to detect source code, logging formats, database backup formats, credentials, and API key formats.

Amazon Macie will analyze the user behavior



Amazon Macie will verify the user behavior analytics engine to help identify risky or suspicious activity with AWS service API call/s and access to high-value content. It includes the ability to detect sudden increases in high risk API activity, anomalous API activity through multiple locations or at infrequent hours, and increases in access to content that could indicate possible data loss.

Amazon Macie will manage the Workflow to reduce the human intervention

 Using the AWS CloudTrail along with Security Information and Event Management (SIEM) services and Managed Security Service Provider (MSSP) Integration helps the Amazon Macie to handle the alerts, compliance ruleset creation and modifications, reporting, and configurations for data in AWS S3.
Though Amazon Macie is supported only in both US East (N. Virginia) and US West (Oregon) regions. The price seems high, but if the intellectual property and Important data are priceless, then it's much-needed service. 

 Price divided in three process

 Content Classification: - First 1GB free and after that $5 per GB for Content Classification engine
CloudTrail Event processing: - No charge for 100,000 events and after that $4 till 1,000,000 events
Data Rentention: - No cost for 30 days (default) but beyond that $0.05 per GB for each month

 Looks costly but interesting service... 
Location: India

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