Accutive Data Discovery and Masking
Accutive Security’s ADM:
An Advanced Data Security Platform
Masking
Enable test and QA teams with fully protected, masked production data securing sensitive information, ensuring compliance and accelerating results
Discovery
Analyze databases to find sensitive data everywhere and anywhere in your network enabling testing and facilitating analytics while ensuring compliance
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
Automate data discovery, subset and masking processes empowering technical teams with the right data while preserving security and compliance
How Does it Work?
1
Identify Your Needs
2
Data Discovery
3
AI-Powered Configuration
4
High-Speed Data Masking
Business Outcomes
Enhance Data Security
Reduce the risk of data breaches and protect sensitive information, ensuring a robust defense against cyber threats.
Comply with Regulations
Meet legal requirements for data privacy and protection, avoiding fines and penalties associated with data mishandling.
Reduce Costs
Decrease the likelihood of costly data breaches and the associated expenses of damage control and legal fees.
Improve Quality Assurance
Enable thorough and secure testing, leading to higher-quality software products and fewer post-release defects or issues.
Maintain Trust
Build customer and stakeholder trust by demonstrating a commitment to data privacy and security, enhancing brand reputation.
Empower DevOps
Accelerate development processes by allowing safe use of real-world data scenarios without compliance roadblocks or privacy concerns.
Masking in Action


Sample Flat Delimited File




Common Obstacles
Speed
Lack of rapid planning and execution
Complexity
Increased complexity of DataOps and security needs for effective solutions
Compliance
Potential fines, reputation damage and data loss
Data Preservation
Example 1: Format-Preserving Masking retains data structures, like American Express card format, for system validation without revealing actual card details.
Example 2: Luhn Algorithm Masking creates valid-looking numbers that pass the Luhn check, ensuring realistic, non-active data representation in systems.
Mask Consistently Across Different Data Sources
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 Algorithms Provide Unique Benefits
Case 1:
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.
Show MoreCase 2:
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.
Show MoreCase 3:
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.
Show MoreSecurity
- Multifactor Authentication
- Role-Based Login
- Active Directory Integrations
- Tamper-Resistant Secure Logging
- Guarantee that your private source data is never stored in the ADM plaform or log files
- Java-standard key stores and/or network connected KMIP-compatible HSMs with configurable key generation and storage
Additional Features
- Localization support for multiple languages
- Supports Spanish and French and can easily configure with other languages
- Automatic creation of data discovery and masking logs for auditors
- Smart addresses
- Choose whether to keep addresses in their original location
- Decide between real and fake addresses
- Support salesforce data
Main Use Cases
Discover + Report Sensitive Data
- Find + flag unknown sensitive information
- Mergers + acquisitions
- Auditing
Data Migration and Testing + QA
- Securely Migrate production data
- Securely test with production-like data
- Run Business Analytics with data replacements and masking