Auditing Amazon S3 Buckets
AWS buckets are a logical unit of storage in Amazon Web Services (AWS) object storage service, Simple Storage Solution S3. Buckets are used to store objects, which consist of data and metadata. S3 Customers create buckets to share data amongst users and privileges are controlled through the AWS Policy Generator. It’s important for your IT security and compliance posture to not only understand who is accessing the data but also any changes to the security settings surrounding the content of the buckets. This is where Lepide Amazon S3 Auditor comes in.
“Environment visibility at a glance. The real time alerting, and
live feed of changes are awesome.”
Lepide is straightforward to use and effective right off the bat. Plus, the level of patience, attentiveness and technical knowhow is far beyond most support and sales teams I’ve seen before.
We chose Lepide as they were able to offer us threat detection and response, and a way of separating out reporting duties to a web console – all from one platform.
Lepide is a perfect fit for our IT Security and Compliance requirements. It helps us cut out a lot of wasted time and money and now we know we can be compliant with industry standards.
How We Help to Audit Amazon S3 Changes
Who’s Accessing Critical Data Within the Buckets?
Understand how users are interacting with the data shared within the buckets. As well as being able to identify if new files are added and removed to the storage buckets you will also be able to gain insight into who’s accessing the data, and how frequently, to help in determining unauthorized access or privilege abuse.
Who’s Making Configuration Changes
To prevent privilege abuse in the first place, it’s important to design a stringent security model around access management to the storage buckets. With Lepide Amazon S3 Auditor, you will be able to see if there are any unauthorized changed to the Access Control Lists surrounding the data. This will help in ensuring permissions are not granted to those who don’t need them and also help to prevent privilege sprawl across the unstructured data.