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ease
features
design
support

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Description

Amazon Macie is an entirely managed service focused on data security and privacy that leverages machine learning and pattern recognition to locate and safeguard sensitive information within AWS. As organizations grapple with the increasing amounts of data they generate, the task of identifying and securing sensitive information can become more complex, costly, and labor-intensive. By automating the process of discovering sensitive data at scale, Amazon Macie helps reduce the financial burden associated with data protection. It generates an inventory of Amazon S3 buckets, highlighting unencrypted buckets, those that are publicly accessible, and those shared with AWS accounts outside your designated AWS Organizations. Additionally, Macie utilizes machine learning and pattern matching methods on the selected buckets to pinpoint and notify you about sensitive data, including personally identifiable information (PII), ensuring that your organization remains compliant and secure. Furthermore, by streamlining this process, Macie enables businesses to focus more on their core operations while maintaining robust data security practices.

Description

If you have experience with cloud storage, understanding buckets will be straightforward for you. However, in contrast to conventional cloud services, buckets utilize open and decentralized protocols like IPFS and Libp2p. They can be employed to host websites, data, and applications directly from buckets. You can easily navigate your Buckets through the Hub gateway. Additionally, you can render web content within your Bucket to create a persistent website. Updates can be automatically shared on IPFS by using IPNS. Organizations can manage Buckets collaboratively, facilitating teamwork. You also have the option to establish private Buckets, allowing your app users a secure place to store their data. For long-term security and file accessibility, you can archive Bucket data on Filecoin. To initiate a Bucket in your current working directory, you first need to initialize it. This initialization can be done with an existing UnixFS DAG from the IPFS network or by interactively importing it into an existing bucket. Furthermore, you can create buckets that can be shared among all members of your organization, enhancing collaborative efforts. It's a flexible solution that caters to diverse storage needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
AWS Security Hub
Amazon Aurora
Amazon CloudWatch
Amazon Detective
Amazon S3
Bitcanopy
Chronicle SOAR
Filecoin
IPFS
Polygon (Matic)

Integrations

AWS App Mesh
AWS Security Hub
Amazon Aurora
Amazon CloudWatch
Amazon Detective
Amazon S3
Bitcanopy
Chronicle SOAR
Filecoin
IPFS
Polygon (Matic)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/macie/

Vendor Details

Company Name

Textile

Founded

2016

Website

docs.textile.io/buckets/

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product Features

Alternatives

Alternatives