Static Data Masking

Static data masking done right

Mage iScramble protects sensitive data in non-production environments while integrating seamlessly with Imperva Data Security Fabric (DSF). With over 60 data anonymization algorithms that include masking, encryption, and tokenization, Mage iScramble allows organizations to deploy the most suitable method for anonymization without compromising their sensitive data.

With data being used extensively for analytics and other value-added purposes, it has become increasingly important for organizations to balance security and usability. Anonymizing a name with many random characters and symbols will protect the data but will render the anonymized data useless for analytics. Mage iScramble anonymizes data to retain the data usability while providing actual security. The solution even lets users know the reversibility risk associated with a particular value so that security experts can make an informed decision on what needs to be prioritized – data security or data usability – allowing them to coexist in balance.

Key features and benefits

Choose from 60+ different anonymization methods to protect your sensitive data effectively
Maintain referential integrity between applications through anonymization methods that give you consistent results across applications and datastores
Choose to encrypt, tokenize, or mask the data according to the use case that suits you

Take the data risk out of development, testing, and analysis

Mage iScramble enables organizations to safely use realistic data for critical business processes such as development, testing, and data analysis without exposing sensitive information. It mitigates the risk of data breach and non-compliance by deidentifying sensitive data in non-production environments. Mage iScramble static data masking replaces sensitive data, such as regulated personal data, with fictional but realistic values that maintain referential integrity, enabling data-driven business processes to operate normally.

Actual data containing sensitive information is replaced with fictional yet high-quality realistic data, using various transformation techniques that are functionally and statistically accurate. For example, consider an original data record containing a record of Adam Smith, who is 60 years old, and his SSN is 123-44-5555. After masking, the data might become Tom White, 56 years old, with an SSN of 747-88-9999.

Enable data-driven business without exposing sensitive data for all data types

Meet regulatory compliance for privacy of personally identifiable information

Allow application development and testing without the risk involved with production data

Simple and fast

Mage iScramble automatically identifies and classifies sensitive and personal data, so you know what sensitive information resides in a database you need to mask. Mage Data Masking makes it easy with a process wizard, and out-of-box predefined pattern templates accelerate your masking progress by quickly locating and identifying a wide range of sensitive data.

Additionally, Mage iScramble can easily be integrated across multiple database types and applications while maintaining relational integrity. It ensures consistency in how sensitive elements are masked and maintains critical data relationships within and across different platforms.

Mage iScramble significantly reduces manual effort and enables a more efficient sensitive data analysis process, allowing you to detect and audit changes to the sensitive data landscape over time.

iScramble is a great data masking technique that provides flexibility to encrypt data to protect it from attacks and threats. It has various anonymization techniques that help to safeguard data in non-production environments. It can source data from various applications and third parties like Big Data, Hive, and Oracle. It helps protect data at enterprise and database layers and helps secure data on any cloud platform. This provides a complete security solution with proper masking techniques to protect data from outside attacks.

Data and Analytics Analyst Firm size: $1B-$2B USD

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 data usability
Retain the characteristics of the original data with anonymization techniques that maintain format, length, and context

Meet privacy and regulatory compliance needs enterprise-wide

Mage iScramble will help ensure compliance with data privacy and protection regulations. The centralized management and reporting capability allows you to prove the data is anonymized and generate compliance reports. The predefined report templates provide data use, risk, and protection visibility. Mage iScramble will also:

Anonymize your sensitive data using a range of methods that provide adequate security while maintaining data usability
Choose from a variety of NIST-approved encryption and tokenization algorithms in addition to masking
Maintain minimal reversibility risk, thereby complying with rigorous regulations like HIPAA, GDPR, and CCPA

Imperva Data Security Fabric protects all data types with a single system that delivers multiple business capabilities

Imperva Data Security Fabric is the first data-centric solution that enables your organization's security and compliance teams to quickly and easily secure sensitive data, no matter where it resides, with an integrated, proactive approach to visibility and predictive analytics.

Imperva Data Security Fabric is composed of cutting-edge orchestrated technical capabilities that work in unison to protect your data across your entire organization:

Data Risk Prioritization

Get a unified view of essential data risk metrics that are transparent, flexible, and customizable to understand your risk profile and mitigate gaps.

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Data Discovery & Classification

Discover ungoverned data, classify all data, and assess vulnerabilities.

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Data Activity Monitoring

Gain complete visibility and ensure compliance with continuous monitoring, auditing and analyzing all data store and data types.

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Data Risk Analytics

Detect and report non-compliant, risky, or malicious data access behavior across all of your data repositories enterprise-wide to accelerate remediation.

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Data Retention & Archive

Meet any data archiving requirement using the most cost efficient storage technology available.

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Ecosystem Integrations

Enhance the value of your existing technology investments - for both incident context and additional data capabilities.

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Data Encryption & Tokenization

Protect critical data with encryption, key management, and tokenization wherever it resides.

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Modify sensitive data so it is of no value to unauthorized users while still being usable by your systems.

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Automated Workflows & Playbooks

Achieve higher scale and increase DevOps efficiency through the use of automated workflows delivered through trusted repositories.

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Static Data Masking