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    DataMasque Synthetically Identical Masked Data - MCP for AI Workloads

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    Deployed on AWS
    AWS Free Tier
    DataMasque discovers sensitive data, including PII, PHI, and PCI, and automatically generates masking rules to irreversibly replace this data with realistic and functional values. With DataMasque, you can accelerate your development and testing teams by providing production-realistic masked data.

    Overview

    DataMasque is a data masking solution that makes it possible to mask complex enterprise data while maintaining data integrity and consistency across database and file data store boundaries within organisations' data landscape, regardless of 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. This DataMasque AWS Marketplace software product allows you to mask an unlimited amounts of data on all supported data sources.

    Highlights

    • Drives consistency across tables, databases, and database engines, whether in the cloud or on-premises, regardless of the environment.
    • Cryptographically secure SHA-512 salted hash to drive irreversibility.
    • Optimised for self-service automation - integrates seamlessly into existing IT management services.

    Details

    Delivery method

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

    Latest version

    Operating system
    Rhel 8.8

    Deployed on AWS

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    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 Synthetically Identical Masked Data - MCP for AI Workloads

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (6)

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    Dimension
    Description
    Cost/month
    enterprise_lic
    DataMasque Enterprise License
    $0.001
    business_lic
    DataMasque Business License
    $0.001
    enterprise_sup
    DataMasque Enterprise License + Enhanced Support
    $0.001
    business_sup
    DataMasque Business License + Enhanced Support
    $0.001
    enterprise_add
    DataMasque Enterprise License - Additional Deployment
    $0.001
    business_add
    DataMasque Business License - Additional Deployment
    $0.001

    Vendor refund policy

    Refunds and cancellations are not available.

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    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

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    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: Added the imitate_uuid mask for masking of GUID/UUID values while preserving format and structure. Added auto_manage_indexes feature to automatically disable and re-enable non-unique indexes. Added Snowflake time travel detection that prevents masking when historical data retention is enabled. Allow creating admin users through the UI. Conditional execution for run_sql tasks using the db_type parameter. Added a new API /api/connections/{id}/test/ to allow testing an existing connection. Added support for auto_manage_triggers at the ruleset level. Added trim_leading_whitespace and trim_trailing_whitespace parameters to the mask_tabular_file task, with defaults of trim_leading_whitespace: false and trim_trailing_whitespace: true. This changes the default behavior for fixed width files where leading whitespace is now preserved by default. To revert to the previous behavior, set trim_leading_whitespace to true. Added a new on_sentinel_year parameter to the retain_age mask to configure behaviour when masking years 0001 or 9999.

    Changed: Default whitespace trimming behavior for fixed width files (see new trim_leading_whitespace and trim_trailing_whitespace parameters in Added section). Removed 5GB limitation on S3 file uploads. Improve UX of ruleset editor on smaller screens. Ruleset API performance improvements.

    Fixed: Session timeouts causing the UI to hang with a white screen. Fixed hash_columns at table level causing cascades in from_unique_imitate to fail when columns don't exist on child tables. Fixed foreign key constraint removal failures on PostgreSQL. Intermittent issue where clicking the Rerun Discovery button wouldn't trigger a new discovery run. Redshift data discovery no longer fails.

    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.

    2. Refer to the URL below for usage instructions on configuring the MCP Server:

    https://datamasque.atlassian.net/servicedesk/customer/portal/3/topic/e3ebf82e-a7ea-415e-a012-d1a5797ee763/article/2690220036 

    Note:

    • 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.

    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. To purchase licenses or speak with our sales team, contact us at sales@datamasque.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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    Customer reviews

    Ratings and reviews

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    Shaikshavali K.

    Best tool for data masking

    Reviewed on Jan 26, 2024
    Review provided by G2
    What do you like best about the product?
    I liked that way it was created to mask business and sensitive data with data masking.
    What do you dislike about the product?
    It should be better user friendly UI.
    Performance can also be improved better
    What problems is the product solving and how is that benefiting you?
    Hiding sensitive data and bussiness data with some data masking techniques.
    View all reviews