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Ratings and Reviews 0 Ratings
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What is Omega DB Security Reporter?
Omega DB Security Reporter is a comprehensive, software-centric security auditing solution designed specifically for Oracle databases, offering an out-of-the-box approach. It facilitates rapid reporting, visualization, and documentation of the security status of Oracle databases while meeting various internal and external compliance standards.
This tool delivers a thorough, integrated, and categorized assessment of the Oracle Database, allowing security teams to efficiently handle complex evaluations in just a matter of minutes.
Furthermore, it conducts SQL assessable controls of Oracle, adheres to security checklists such as CIS and STIG-DISA, and generates compliance reports that cover overall security and advanced areas. It aligns with various IT security frameworks and standards, including ISO 27001/2, ISACA, PCI-DSS, and HIPAA, ensuring a well-rounded security posture.
Additionally, Omega DB Security Reporter manages privileges across systems, objects, and roles while conducting audits on system privileges, user statements, and object operations. It also evaluates user password profile resources and initialization security parameters, providing a holistic view of database security.
The relationships among various Oracle security features are presented to users through adaptable application formats, with assessed items visualized using intuitive, data-aware components for enhanced understanding. Users can also benefit from the ability to compare reports between target and baseline types, allowing for better tracking of security improvements over time.
What is Mage Platform?
Safeguard, oversee, and identify critical enterprise data across various platforms and settings. Streamline your subject rights handling and showcase adherence to regulations, all within a single comprehensive solution that enhances both security and efficiency.
Integrations Supported
Amazon Redshift
Apache Spark
Azure Databricks
Cloudera
Google Cloud Build
Google Drive
Hemi HL7
Hive
Mage Dynamic Data Masking
Mage Static Data Masking
Integrations Supported
Amazon Redshift
Apache Spark
Azure Databricks
Cloudera
Google Cloud Build
Google Drive
Hemi HL7
Hive
Mage Dynamic Data Masking
Mage Static Data Masking
API Availability
Has API
API Availability
Has API
Pricing Information
$899 USD
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
DATAPLUS
Date Founded
2004
Company Location
Albania
Company Website
www.dataplus-al.com
Company Facts
Organization Name
Mage Data
Date Founded
2014
Company Location
United States
Company Website
magedata.ai/
Categories and Features
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
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
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification