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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Amazon S3 Vectors is the pioneering cloud object storage solution that inherently accommodates the storage and querying of vector embeddings at a large scale, providing a specialized and cost-efficient storage option for applications such as semantic search, AI-driven agents, retrieval-augmented generation, and similarity searches. It features a novel “vector bucket” category in S3, enabling users to classify vectors into “vector indexes,” store high-dimensional embeddings that represent various forms of unstructured data such as text, images, and audio, and perform similarity queries through exclusive APIs, all without the need for infrastructure provisioning. In addition, each vector can include metadata, such as tags, timestamps, and categories, facilitating attribute-based filtered queries. Notably, S3 Vectors boasts impressive scalability; it is now widely accessible and can accommodate up to 2 billion vectors per index and as many as 10,000 vector indexes within a single bucket, while ensuring elastic and durable storage with the option of server-side encryption, either through SSE-S3 or optionally using KMS. This innovative approach not only simplifies managing large datasets but also enhances the efficiency and effectiveness of data retrieval processes for developers and businesses alike.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
AWS App Mesh Yes 
AWS Security Hub Yes 
Amazon Aurora Yes 
Amazon Bedrock No 
Amazon CloudWatch Yes 
Amazon Detective Yes 
Amazon OpenSearch Service No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
Bitcanopy Yes 
Chronicle SOAR Yes 
Mimasa AI No 

Integrations

Amazon S3 Yes 
AWS App Mesh No 
AWS Security Hub No 
Amazon Aurora No 
Amazon Bedrock Yes 
Amazon CloudWatch No 
Amazon Detective No 
Amazon OpenSearch Service Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
Bitcanopy No 
Chronicle SOAR No 
Mimasa AI Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/macie/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/s3/features/vectors/

Product Features

Cybersecurity

AI / Machine Learning Yes 
Behavioral Analytics Yes 
Endpoint Management Yes 
IOC Verification Yes 
Incident Management Yes 
Tokenization No 
Vulnerability Scanning Yes 
Whitelisting / Blacklisting Yes 

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