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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

Scanner.dev is a cloud-based security data lake and a streamlined security information and event management (SIEM) platform that allows users to index logs directly into their Amazon S3 storage, thereby enabling the retention of unlimited logs and facilitating full-text searches across vast amounts of data in mere seconds, all without the need for additional ETL processes or schema setups. With its lightweight indexing system, any log format can be made immediately searchable, and it offers rapid search capabilities, ongoing threat detection through customizable detection rules that can be managed as code via GitHub, and seamless alerting with APIs for automation and existing security workflow integration. The platform's streaming detection engine constantly assesses rule queries in nearly real time and is equipped to backtest detection logic using historical data. Furthermore, its API and Model Context Protocol (MCP) not only provide programmatic access but also allow for AI-assisted evaluation of security data, enhancing the overall security analysis process. This robust architecture ensures that organizations can effectively manage and respond to security threats with agility and precision.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
1Password No 
AWS App Mesh Yes 
AWS CloudTrail No 
AWS Security Hub Yes 
Amazon Aurora Yes 
Amazon Web Services (AWS) No 
Auth0 No 
Bitcanopy Yes 
Chronicle SOAR Yes 
Claude No 
Claude Code No 
GitHub No 
Google Cloud Platform No 
Google Workspace No 
Microsoft Azure No 
Model Context Protocol (MCP) No 
Okta No 
PagerDuty No 
Tines No 

Integrations

Amazon S3 Yes 
1Password Yes 
AWS App Mesh No 
AWS CloudTrail Yes 
AWS Security Hub No 
Amazon Aurora No 
Amazon Web Services (AWS) Yes 
Auth0 Yes 
Bitcanopy No 
Chronicle SOAR No 
Claude Yes 
Claude Code Yes 
GitHub Yes 
Google Cloud Platform Yes 
Google Workspace Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) Yes 
Okta Yes 
PagerDuty Yes 
Tines Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$30,000 per year
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
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) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/macie/

Vendor Details

Company Name

Scanner

Founded

2022

Country

United States

Website

scanner.dev/

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 

Product Features

SIEM

Application Security No 
Behavioral Analytics No 
Compliance Reporting No 
Endpoint Management No 
File Integrity Monitoring No 
Forensic Analysis No 
Log Management No 
Network Monitoring No 
Real Time Monitoring No 
Threat Intelligence No 
User Activity Monitoring No 

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