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features
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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

watchTowr serves as a Preemptive Exposure Management platform that consistently uncovers and verifies potential breaches from the perspective of actual attackers. By merging proactive threat intelligence with external attack surface discovery and ongoing security testing, it enables teams to stay ahead of emerging threats and prevent real-world exploitation. The platform's Adversary Sight engine employs genuine reconnaissance methods to detect both unknown and evolving assets, including cloud environments, SaaS platforms, storage buckets, infrastructure endpoints, and shadow IT that may be vulnerable to attack. Additionally, its continuous testing simulates the tactics used by attackers to identify significant vulnerabilities in real time, allowing organizations to focus on those that present the most substantial risk of exploitation. With a deployment model that is automated and requires no agents, watchTowr provides organizations with immediate visibility into exploitable weaknesses found across their external attack surface, delivering insights that are on-demand and aligned with industry standards. This comprehensive approach equips teams with the necessary tools to effectively manage their security posture and respond swiftly to any potential threats.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS Security Hub Yes 
Amazon Aurora Yes 
Amazon CloudWatch Yes 
Amazon Detective Yes 
Amazon S3 Yes 
Bitcanopy Yes 
Chronicle SOAR Yes 

Integrations

AWS App Mesh No 
AWS Security Hub No 
Amazon Aurora No 
Amazon CloudWatch No 
Amazon Detective No 
Amazon S3 No 
Bitcanopy No 
Chronicle SOAR No 

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 No 
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 No 
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

watchTowr

Founded

2021

Country

Singapore

Website

watchtowr.com

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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