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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 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.

Description

Numerous applications and services hosted in public cloud environments utilize storage solutions like Amazon S3 buckets and Azure Blob storage. As time progresses, these storage solutions may become infected with malware, improperly configured buckets can lead to data breaches, and failure to classify sensitive information can lead to compliance issues and hefty fines. CWP for Storage plays a crucial role by automatically identifying and scanning Amazon S3 buckets and Azure Blobs, ensuring that cloud storage remains both clean and secure. Furthermore, CWP for Storage DLP implements Symantec DLP policy within Amazon S3 to effectively discover and categorize sensitive data. To facilitate remediation and additional actions, AWS Tags can be applied as necessary. Additionally, Cloud Security Posture Management (CSPM) is available for major platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). While containers enhance operational agility, they also introduce a variety of public cloud security challenges and vulnerabilities that can heighten overall risk, necessitating a proactive approach to security management. Organizations must remain vigilant and continually update their security measures to mitigate these evolving threats.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Amazon Bedrock Yes 
Amazon OpenSearch Service Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
F5 BIG-IP SSL Orchestrator No 
Google Cloud Platform No 
Microsoft Azure No 
Mimasa AI Yes 
Proofpoint Intelligent Classification and Protection No 
Symantec Web Isolation No 

Integrations

Amazon S3 Yes 
Amazon Bedrock No 
Amazon OpenSearch Service No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
F5 BIG-IP SSL Orchestrator Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Mimasa AI No 
Proofpoint Intelligent Classification and Protection Yes 
Symantec Web Isolation Yes 

Pricing Details

No price information available.
Free Trial No 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

Broadcom

Founded

1991

Country

United States

Website

www.broadcom.com/products/cyber-security/endpoint/hybrid-cloud/cloud-workload-protection

Product Features

Product Features

Cloud Workload Protection

Anomaly Detection No 
Asset Discovery No 
Cloud Gap Analysis No 
Cloud Registry No 
Data Loss Prevention (DLP) No 
Data Security No 
Governance No 
Logging & Reporting No 
Machine Learning No 
Security Audit No 
Workload Diversity No 

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