Accutive Data Discovery + Data Masking -
Data Security Platform

Database and File Rapid Data Discovery and Masking to empower Development, QA & Testing and DevOps teams.

Eclipse

Discover why ADM is a top-rated Data Masking Platform according to Gartner Peer Insights.

Accutive Security’s ADM:
An Advanced Data Security Platform

Masking

Data Masking

Enable test and QA teams with fully protected, masked production data securing sensitive information, ensuring compliance and accelerating results
Discovery

Data Discovery

Analyze databases to find sensitive data everywhere and anywhere in your network enabling testing and facilitating analytics while ensuring compliance
Subsetting

Data Subsetting

Identify and select just-right data sets from large production databases for rapid, accurate testing or analytics while reducing storage costs and processing time
Automation

Data Automation

Automate data discovery, subset and masking processes empowering technical teams with the right data while preserving security and compliance
Tokenization

Tokenization

Substitute your critical sensitive data with a non-sensitive placeholder for secure usage + sharing

Accelerate secure data discovery + data masking with
our easy 4-step process:

Identify Your Needs
1

Identify Your Needs

Select the regulations relevant to your compliance, privacy, and audit requirements.
Data Discovery
2

Data Discovery

We probe databases, tables, and files to identify data that needs masking based on your specified regulations.
AI-Powered Configuration
3

AI-Powered Configuration

Built-in AI offers you optimal masking configurations, or you can customize settings to suit your preferences.
Data Masking
4

High-Speed Data Masking

We mask your data with unparalleled speed and performance, ensuring both security and usability.

Optimized Business Impact:
Benefits of Data Discovery + Data Masking

Enhance-Data-Security

Enhance Data Security

Reduce the risk of data breaches and protect sensitive information, ensuring a robust defense against cyber threats.

Comply-with-Regulations

Comply with Regulations

Meet legal requirements for data privacy and protection, avoiding fines and penalties associated with data mishandling.

Reduce-Costs

Reduce Costs

Decrease the likelihood of costly data breaches and the associated expenses of damage control and legal fees.

Improve-Quality-Assurance

Improve Quality Assurance

Enable thorough and secure testing, leading to higher-quality software products and fewer post-release defects or issues.

Maintain-Trust

Maintain Trust

Build customer and stakeholder trust by demonstrating a commitment to data privacy and security, enhancing brand reputation.

Empower-DevOps

Empower DevOps

Accelerate development processes by allowing safe use of real-world data scenarios without compliance roadblocks or privacy concerns.

Explore ADM: Data Masking Examples and Sample Solutions

Universal and User-Friendly data masking with ADM: Effortlessly Identify and Mask Sensitive Data Across All Databases and Files

XML Before XML- after

Masking XML Files

Seamless XML Content Masking

  • Navigate the complex hierarchical structure of XML files with sophisticated rules and logic-based masking.
  • Discover and mask nested elements and attributes with context-aware masking that maintains data integrity.

Ensure your personal data remains protected during development and testing—without breaking XML schema or important application logic.

Masking Flat Delimited Files

Your Flat Delimited Files, Covered

  • Discover and mask data in flat delimited files, even without contextual clues and data tags.
  • Preserve file structure and data utility for testing and analytics.

Protect sensitive data stored in a range of files types to comply with data regulations and mandates

Flat Delimited File Before Flat Delimited File - after
Before Database- after

Mask Your Databases

Robust Database Masking for Security and Compliance

  • Seamlessly mask large volumes of data without impacting database performance.
  • Handle various data types and formats, from simple text to large binary objects.
  • Ensure applications using the database continue to function correctly with masked data.
See what ADM can do for your organization

Common Obstacles - Streamlining DataOps Barriers

Speed

Speed

Lack of rapid planning and execution

Complexity

Complexity

Increased complexity of DataOps and security needs for effective solutions

compliance

Compliance

Potential fines, reputation damage and data loss

Advanced Data Masking Techniques: Preserving Data Utility and Anonymity

  • Preserve important data characteristics so that your data remains functional but still anonymized.

Example 1: Format-Preserving Masking retains data structures, like American Express card format, for system validation without revealing actual card details.

  • Length: Amex card numbers typically have 15 digits, in contrast to most other credit card numbers, which have 16 digits.
  • Starting Digits: Amex numbers usually start with the digits "34" or "37." These initial numbers are called the Issuer Identification Number (IIN) or Bank Identification Number (BIN) and help identify the issuing institution.

Example 2: Luhn Algorithm Masking creates valid-looking numbers that pass the Luhn check, ensuring realistic, non-active data representation in systems.

Credit-Card
Data-Sources

Database Referential Integrity: In-Database + Enterprise-Wide for consistent masking + data integrity

  • With multiple databases in an enterprise, it’s common to mask data separately in each database, which can lead to inconsistent masking and breaking of referential integrity.
  • ADM empowers you to mask important data consistently and with referential integrity in mind, saving time and boosting efficiency.

Example: An SSN such as 109-98-1767 (not real but adheres to the standard—109 shows it was issued in NY) can be masked as 109-00-5874 consistently across all other databases, files, and more.

Advanced, Customizable Data Masking

With ADM, you can use our advanced pre-configured Groovy Scripts, or create your own to overcome any data masking challenge – no matter how complex.

Category-Preserving Masking

ADM allows to you to mask information while maintaining important categories for your data

Example: Mask a user’s age with a fictional number that is still within the same age group as the original. A senior citizen will remain a senior citizen, and a teenager will remain a teenager.

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Compound Masking

Compound masking allows you to mask unique, interconnected fields.

Example: If a first and last name are masked into new values, an original email address derived from the name will automatically be generated with the new values.

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Synchronized Fields

ADM allows you to maintain related fields, so your data remains logical.

Example: When changing a user’s age, their birthday will also automatically adjust, maintaining continuity and logic.

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Security

security

Additional Features

Additional-Features

Primary Use Cases For ADM

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Discover + Report Sensitive Data

Data Migration and Testing + QA

Preserve data consistency between different systems

Securely develop + test with production-like data

Securely share data with external parties

Supports Data Discovery + Data Masking for all major Databases and Information Management Tools including Oracle Database, Microsoft SQL Server, MySQL, PostgreSQL, IBM DB2, Amazon RedShift, MongoDB and more.

Page Summary

Enhance your data security and compliance strategies with the power of data masking, anonymization, and obfuscation techniques. Dive into the world of dynamic and static data masking to safeguard sensitive information and meet regulatory requirements effectively. Our comprehensive solutions empower you to protect critical data, maintain privacy, and reduce risks.
Discover the top database masking tools that streamline the process, ensuring seamless implementation and management. With these tools, you’ll gain granular control over data access, ensuring that only authorized personnel can view sensitive information. Take proactive steps to secure your data environment and maintain the trust of your customers and stakeholders while meeting stringent compliance standards.
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