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    DataMasque Virtually Identical Masked Data - Consumption Plan for RHEL

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    Sold by: DataMasque 
    DataMasque finds sensitive data including PII, PHI, PCI and FHIR within your non-production environments and uses data masking to replace it with realistic, functional and consistent values. By removing the sensitivity of your data, you accelerate your Test/Dev and Analytical teams by providing production-like datasets.
    Listing Thumbnail

    DataMasque Virtually Identical Masked Data - Consumption Plan for RHEL

     Info
    Sold by: DataMasque 

    Overview

    Simple and safe data masking. As data leaves your production environment, DataMasque uses irreversible data masking to replace the sensitive data with realistic, functional and consistent values. DataMasque empowers organisations to use data masking to better leverage its data to make meaningful decisions, accelerate product development and securely share data with partners without compromising the privacy of people. By employing best practice data masking across Postgres, Oracle and MSSQL databases, DataMasque significantly reduces your surface area for a potential breach. DataMasque provides certainty, the certainty of protected, best practice compliant data. The certainty of eliminating risk. The certainty of providing valuable, usable data to your stakeholders.

    Note: This DataMasque AWS Marketplace software product allows you to mask up to 500GB of data in a single supported data source type. If you need to mask more than 500GB of data or have multiple data source types to mask, you can upgrade to the annual DataMasque Enterprise Plan. 

    Highlights

    • Optimised for self-service automation - integrates seamlessly into existing IT management services.
    • Drives consistency across tables, databases and database engines.
    • Cryptographically secure SHA-512 salted hash to drive irreversibility.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel 8.8

    Typical total price

    This estimate is based on use of the seller's recommended configuration (c5.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $49.455/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    DataMasque Virtually Identical Masked Data - Consumption Plan for RHEL

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (4)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    c5.2xlarge
    Recommended
    $49.00
    $0.455
    $49.455
    c5.4xlarge
    $49.00
    $0.853
    $49.853
    c6i.2xlarge
    $49.00
    $0.455
    $49.455
    c6i.4xlarge
    $49.00
    $0.853
    $49.853

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Added: Support for retrieving secrets from AWS Secrets Manager as a Run Secret. The worker count for a File Data Discovery run can now be specified in the UI when starting a Discovery run. The number of workers defaults to 1. mask_unique_key tasks that mask foreign keys will now cascade across schemas. The Continue On Failure option has been added to File Masking. If this option is enabled, and an error occurs when masking a file, DataMasque will log the error and continue to the next file. The run will have a failed status. Agent logs now contain the run ID and worker process ID, for easier filtering.

    Changed: Support for generating rulesets for large schemas using the Ruleset Generator UI has been improved. During File or Database Data Discovery, if an error occurs when performing discovery on a table or file, the error is logged and discovery continues to the next table or file. Previously the discovery would fail. The 1,000 column display limit in the Ruleset Generator has been removed. Rulesets generated through the UI may contain only 1,000 columns at a time. If more columns need rules generated, the large ruleset generation API should be used. The Run Date column in the run logs screen has been renamed to Run Start Time. Ignored or custom keywords CSV uploads are now allowed to be either in a single column or single row, instead of just a single row. Docker Compose V2 is now required for Podman installations. Docker Compose V2 is recommended for Docker installations as well, but not required.

    Fixed: Fixed HTTPS SSL certificate uploads being rejected by the DataMasque UI. Fixed issue where only the first connection clone would succeed, with subsequent clones failing for any connection. Removed link to Ruleset Editor and Ruleset Generator links for Mask Runner users, who do not have permission to access these pages. File data discovery runs started using the API now show their results in the UI (previously only runs started in the UI would show results in the UI). Fixed error handling in Connection form to display missing region validation for DynamoDB connections when a region is required. Fix for a case where downloadable Discovery Report for a Data Discovery would not reflect the most recent discovery until the page was refreshed. retain_date_component mask no longer fails when retaining days from the 29th-31st, if randomly selecting a month with fewer days. The disable_warning_on_use_of_conditionals setting now correctly disables all related conditional warnings. Fix masking of Parquet columns that are all null. Parquet integer types are retained after masking (for example, INT96 remains INT96 where previously it would be converted to INT64). The Ruleset Generator no longer generates imitate masks for Parquet columns whose sensitive data type cannot be determined. Instead, appropriate date, time or numeric masks are generated. Progress logging has been improved, to prevent crashes in cases where the admin-server container may restart. Fixed searching of File Data Discovery results, and switching back and forth from Show-Sensitive to Show All when there are no results. Improved documentation on required Oracle and PostgreSQL privileges. Documentation of incorrect csv_file in Ruleset Generator API documentation has been fixed. The correct csv_or_zip_file is now documented.

    Additional details

    Usage instructions

    Please follow the steps below to complete setting up your DataMasque instance:

    1. Access the application via a web browser at https://<instance-ip-or-hostname>. The application may take a few minutes to start. Please refresh the page if you encounter the "Unexpected Error" message.

    2. Complete the first-time installation page by providing the following information:

    • Email address of the DataMasque admin user. This email address is stored on the DataMasque EC2 instance and is used for the purposes of providing 'Forgotten Password' account recovery and critical system notifications. DataMasque will not have access to this information.

    • Password for the admin user.

    • Hostnames or IP addresses to access the DataMasque instance.

    • The SMTP settings specific to your organisation.

    • The instance ID of your EC2 instance.

    1. You will be re-directed to the DataMasque login screen. Please proceed to login with the admin password you have just configured.

    Note:

    • This product allows masking up to a total of 500GB across unique data sources.
    • When you use our software we may receive and store usage data and information relating to the performance and use of the Software. We will not disclose any system information which identifies the user or the user environment to third parties.
    • To upgrade your DataMasque version, contact the DataMasque team via https://datamasque.com/contact/?source=support_ticket  or support@datamasque.com  to request your access to the DataMasque Customer Portal and download the new DataMasque software version.

    Support

    Vendor support

    DataMasque provides full product and installation support within 72 hours of making an enquiry. Contact the support team at support@datamasque.com  for any enquiries you may have. support@datadatamasque.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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