iScramble™

Static Data Masking

Get the flexibility to choose the anonymization method as per your requirements – including encryption, tokenization, and masking techniques – to protect your sensitive data in a delicate balance of performance and security.

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Secure data in Pre-Production and Non-Production environments

  • Choose from 60+ different anonymization methods that protect your sensitive data effectively.
  • Maintain referential integrity between applications through anonymization methods that give you consistent results across applications and datastores.
  • Anonymization methods that offer you the best of both worlds in terms of protection and performance
  • Choose to encrypt, tokenize, or mask the data as per the use case that suits you.

Demonstrate compliance with Privacy Regulations

  • Anonymize your sensitive data using a range of methods that provide adequate security while maintaining data usability.
  • Protect sensitive data across data stores and applications and maintain referential integrity between them.
  • Choose from a variety of NIST-approved encryption and tokenization algorithms in addition to masking to secure your sensitive data.
  • Maintain minimal reversibility risk, thereby complying with rigorous regulations like HIPAA, GDPR, and CCPA.
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Demonstrate compliance with Privacy Regulations

  • Anonymize your sensitive data using a range of methods that provide adequate security while maintaining data usability.
  • Protect sensitive data across data stores and applications and maintain referential integrity between them.
  • Choose from a variety of NIST-approved encryption and tokenization algorithms in addition to masking to secure your sensitive data.
  • Maintain minimal reversibility risk, thereby complying with rigorous regulations like HIPAA, GDPR, and CCPA.

Maintain a secure environment for your sensitive data through an Anonymization solution that is capable of:

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Encryption, Masking, and Tokenization

  • Choose how you want to secure your sensitive data with a data classification centric anonymization technique.
  • Secure your data across the spectrum, whether it is in-transit, at-rest, or in-use.
  • Provide the best in class security for your sensitive data with NIST approved fips140 algorithm for encryption and tokenization.

Preserve data context while integrating with DevOps

  • Implement masking that integrates easily with your replication process with a choice of in-app or API based execution of anonymization.
  • Anonymize your data with context preserving techniques that enable you to retain the data’s usability.
  • Retain the characteristics of the original data with anonymization techniques that maintain format, length, and context.
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Preserve data context while integrating with DevOps

  • Implement masking that integrates easily with your replication process with a choice of in-app or API based execution of anonymization.
  • Anonymize your data with context preserving techniques that enable you to retain the data’s usability.
  • Retain the characteristics of the original data with anonymization techniques that maintain format, length, and context.
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Minimal risk of Re-identification

  • Enable adequate anonymization with minimal re-identification risk through the use of MENTIS Identities (patent pending) masking method.
  • Generate a fake dataset similar in characteristics to the original data through fuzzy logic and artificial intelligence, with MENTIS identities.
  • Maintain an anonymized datastore that preserves demographics, gender ratios, age distribution, and the like.

Data Sources Supported

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Testimonials

We take pride in our capabilities. Don’t just take our word for it, See what our customers have to say about us.

“Worked very well for our PeopleSoft HCM instance. Required very little custom configuration. Was designed to protect the most sensitive data elements.”

Global Head Infrastructure/Ops – HR Info

Industry: Finance
Firm Size: 1B – 3B USD

Relevant Resources

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Datasheet

iScramble™ – Static Data Masking

Looking for a high-performance masking solution that eliminates the risk of carrying redundant data? Read to know more.

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Case Study

Automated static data masking for a leading healthcare company in the US

For a leading healthcare company in the US, we implemented automated static data masking to secure PHI data in Oracle.

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Case Study

Discovery and masking for a Financial Services Software Provider

Find out how our discovery and data masking solutions helped in securing Oracle and SQL for a leading provider of Financial Services solutions.

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