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What is Enterprise Recon?

Ground Labs' Enterprise Recon enables organizations to locate and rectify sensitive information across a diverse array of both structured and unstructured data sources. This capability extends to data residing on internal servers, personal devices of employees, and cloud storage systems. By utilizing Enterprise Recon, businesses worldwide can identify all their data assets while ensuring compliance with regulations such as GDPR, PCI DSS, CCPA, HIPAA, and Australian Privacy laws. The tool is powered by GLASS™, a proprietary technology from Ground Labs, which facilitates rapid and precise data discovery across multiple platforms. Enterprise Recon accommodates sensitive data identification on various operating systems, including Windows, MacOS, Linux, FreeBSD, and Solaris, as well as HP-UX and IBM AIX. The solution offers both agent-based and non-agent options for deployment, providing flexibility for organizations, and includes remote capabilities to manage virtually any network data efficiently. With its comprehensive features, Enterprise Recon stands as a robust solution for organizations seeking to enhance their data security and regulatory adherence.

What is Amazon Macie?

Amazon Macie is a robust, fully managed service dedicated to enhancing data security and privacy by utilizing sophisticated machine learning and pattern recognition techniques to protect sensitive information within AWS environments. As organizations increasingly grapple with vast amounts of data, the complexity and costs associated with identifying and securing such information can escalate, leading to significant resource expenditure. To mitigate these challenges, Amazon Macie simplifies the large-scale discovery of sensitive data, thereby lowering the costs related to data protection. The service automatically compiles a comprehensive inventory of Amazon S3 buckets, pinpointing those that are unencrypted or publicly accessible, as well as those shared with AWS accounts outside your designated AWS Organizations. In addition, Macie applies machine learning and pattern matching to the designated buckets to identify and alert users about sensitive data, including personally identifiable information (PII). This automated approach not only strengthens security measures but also enables organizations to concentrate on their primary goals, free from the burdens of intricate data management issues. By integrating Amazon Macie into their operations, businesses can enhance their data governance while ensuring compliance with privacy regulations.

Media

Media

Integrations Supported

Amazon S3
Adobe Acrobat
Azure Blob Storage
Azure Queue Storage
Google Drive
HCL Notes
IBM Db2
InterSystems Caché
MariaDB
Microsoft 365
Microsoft OneDrive
MySQL
Rackspace Cloud Files
SAP Adaptive Server Enterprise (ASE)
SAP HANA
SQL Server
Teradata VantageCloud

Integrations Supported

Amazon S3
AWS Security Hub
Amazon CloudWatch
Chronicle SOAR

API Availability

Has API

API Availability

Pricing Information

Unlimited Targets inc Desktops, Servers, Users. Data Under Management with Unlimited Rescanning.
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Ground Labs

Date Founded

2007

Company Location

United States

Company Website

www.groundlabs.com/enterprise-recon/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/macie/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification
Visual Analytics

Data Security

Alerts / Notifications
At-Risk Analysis
Audits
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Cybersecurity

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

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