Achieve test data environments devoid of private or sensitive data with Accelario's fully automated AI-based data masking, natively integrated into the platform. Effortlessly implement predefined privacy policy templates for GDPR, CCPA, HIPAA, PCI, and more. Identify records containing private data using AI-based sensitive data search, and anonymize them with a high-speed data masking solution that preserves referential integrity.
Accelario's Integrated Data Masking module revolutionizes data privacy within the test data management (TDM) workflows. By seamlessly blending AI-driven sensitive data search and automatic masking operations, it ensures adherence to data privacy regulations while maintaining development and testing environments free of personally identifiable information. Experience exceptional scanning and masking speeds that deliver realistic test data through a user-friendly, self-service portal designed for generating privacy-compliant, high-quality, production-like databases and files. Stay ahead of potential privacy risks with a smart data search engine that proactively alerts you about privacy exposures across all environments.
Highlights
Fully automated data masking process: Seamlessly incorporated within the test data management (TDM) workflow, Accelario's Data Masking module streamlines the data privacy process, making it easier to manage and maintain privacy-compliant environments so teams work at full velocity with a fully automated data masking process that takes hours, not days.
AI-Based Sensitive Data Search: Utilizing advanced data science algorithms, this module identifies records containing private or sensitive data, ensuring that all necessary information is discovered and addressed in accordance with data privacy regulations.
High-Speed Masking with Referential Integrity: Accelario's Data Masking module provides rapid and efficient data anonymization while preserving referential integrity, ensuring that the masked data remains useful and consistent for testing and development purposes.
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Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour based on the EC2 instance size you run the Anonymization Module on. Four options use large compute-focused instances (c6a.8xlarge, c5a.8xlarge, c6i.8xlarge, and c5.9xlarge), which suit heavier anonymization workloads. The t3.medium option is a smaller general-purpose instance for lighter use or testing. All dimensions bill on the same per-hour usage basis, so your cost scales with how long you run each instance and which size you choose. You can match the instance to your data volume and processing needs.
Top-of-mind questions for buyers
What compute specification does each hourly instance option give me for running the Anonymization Module?
Each option maps to an EC2 instance size. The four c-family options (c6a.8xlarge, c5a.8xlarge, c6i.8xlarge, c5.9xlarge) are compute-focused instances for heavier processing. The t3.medium is a smaller general-purpose instance for lighter use. You pay for each hour that instance runs.
Am I charged when an instance is stopped or paused between anonymization jobs?
Software charges meter running time only, so a fully stopped instance stops accruing hourly software fees. You resume charges when you restart it. Note that stored data on a stopped instance may still incur underlying AWS storage fees separate from this software.
How does cost scale as our data volume and number of environments grow?
You scale by choosing a compute-focused instance for heavier workloads or by running instances longer. The platform supports vertical scaling (a bigger server) and horizontal scaling (more servers). More or larger running instances mean more billed hours, since each dimension bills per hour independently.
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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.
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Achieve test data environments devoid of private or sensitive data with Accelario's fully automated AI-based data masking, natively integrated into the platform. Effortlessly implement predefined privacy policy templates for GDPR, CCPA, HIPAA, PCI, and more. Identify records containing private data using AI-based sensitive data search, and anonymize them with a high-speed data masking solution that preserves referential integrity.
Replicate a database once, deliver to many. Continuously refreshed, privacy-compliant virtual databases, are independently provisioned and maintained without taking up extra storage space. Used as a foundation for delivering test data environments and empowers your agile teams with the autonomy they need to move fast without waiting for test data.
Replicate a database once, deliver to many. Continuously refreshed, privacy-compliant virtual databases, are independently provisioned and maintained without taking up extra storage space. Used as a foundation for delivering test data environments and empowers your agile teams with the autonomy they need to move fast without waiting for test data.
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