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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
AWS App Mesh
AWS Security Hub
Adobe Acrobat
Amazon CloudWatch
Amazon Detective
Azure Blob Storage
Azure Queue Storage
Bitcanopy
Dropbox
HCL Notes
InterSystems Caché
Microsoft OneDrive
Microsoft Power BI
Oracle Cloud Infrastructure
Rackspace Cloud Files
SAP Adaptive Server Enterprise (ASE)
Tableau
Teradata VantageCloud
Tibero

Integrations Supported

Amazon S3
AWS App Mesh
AWS Security Hub
Adobe Acrobat
Amazon CloudWatch
Amazon Detective
Azure Blob Storage
Azure Queue Storage
Bitcanopy
Dropbox
HCL Notes
InterSystems Caché
Microsoft OneDrive
Microsoft Power BI
Oracle Cloud Infrastructure
Rackspace Cloud Files
SAP Adaptive Server Enterprise (ASE)
Tableau
Teradata VantageCloud
Tibero

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
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
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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