Asteria and Agrex Launch Dedicated 'Personal Information Masking System Adapter' for ASTERIA Warp
Asteria and Agrex announced the launch of a dedicated adapter connecting the 'ASTERIA Warp' data integration tool with the 'Personal Information Masking System' starting May 19, 2026. It enables no-code, secure anonymization of personal data, achieving both high data quality and security for AI training and test data generation.
📋 Article Processing Timeline
- 📰 Published: May 19, 2026 at 20:00
- 🔍 Collected: May 19, 2026 at 11:31
- 🤖 AI Analyzed: May 19, 2026 at 16:17 (4h 45m after Collected)
Asteria Corporation (Headquarters: Shibuya-ku, Tokyo, President and CEO: Yoichiro Hirano, Securities Code: 3853, hereinafter: Asteria) and Agrex Inc. of the TIS Intec Group (Headquarters: Shinjuku-ku, Tokyo, President and CEO: Josaku Yanai, hereinafter: Agrex) have announced the launch of the 'Personal Information Masking System Adapter' on May 19, 2026, a dedicated adapter connecting Asteria's data integration tool 'ASTERIA Warp' (hereinafter: Warp) with Agrex's 'Personal Information Masking System.'
Background of the Adapter's Development
In recent years, with the advancement of AI utilization and diversification of information analysis, there is a growing need to utilize data containing personal information across multiple systems and applications, such as generating test data, providing data to external contractors, and AI training. On the other hand, expanding the scope of personal information usage heightens the risk of information leakage. Conventional masking systems (such as blacking out text) intended for personal data protection often compromise the analytical and practical value of the data. Therefore, to promote the utilization of data containing personal information, businesses urgently needed a solution that balances 'ensuring safety' by making individuals unidentifiable with 'useful data quality' that can be leveraged for analysis and testing.
Asteria's data integration tool 'Warp' has secured the #1 share in the Japanese domestic market for enterprise data integration products for 19 consecutive years, serving as software that can connect diverse systems without coding. It enables sophisticated data utilization by linking data between various cloud services and internal systems regardless of programming knowledge.
Unlike traditional masking systems, Agrex's 'Personal Information Masking System' converts personal information—such as names, addresses, and dates of birth—into high-quality fictitious data closely resembling real data, thereby allowing the anonymization of personal data while preserving its attributes.
Against this backdrop, Agrex developed the 'Personal Information Masking System Adapter' for companies using 'Warp'. By combining the strengths of both companies, users can achieve no-code generation of anonymized data and external system integration, facilitating data processing for AI applications, generation of marketing data devoid of personally identifiable information, and test data creation.
Integration Concept of Warp and the Personal Information Masking System
Overview of the Adapter
With this adapter, the masking and conversion features of the 'Personal Information Masking System' can be invoked via no-code from the 'Warp' design interface and incorporated into data integration flows. This ensures personal data is anonymized, converted, and controlled, enabling secure data utilization linked to external systems while maintaining confidentiality, as detailed below:
Secure Data Integration Keeping Personal Data Within the System
Everything from anonymizing personal information to passing data to external systems is completed within 'Warp'. This minimizes the risk of personal information leaks and realizes safe data integration.
No-Code Development Enables Masking Integration Solely Through GUI
Through Warp's no-code environment, even beginners without programming knowledge can build workflows solely by operating flowcharts on screen. This reduces development man-hours and flexibly responds to requirement changes through in-house development.
Applicability to Use Cases Involving Personal Data
Leveraging Agrex's proprietary name and address dictionaries natively built into the 'Personal Information Masking System', data is masked while retaining its intrinsic properties (names remain names, addresses remain addresses). It is broadly applicable to various scenarios involving personal data, including the creation of high-quality test data close to production data, generation of data for analysis, and creation of data for external provision.
Usage Concept of the Adapter
Pricing (Excluding Tax)
1) Standard License
From 400,000 yen
*Separate maintenance service fee from 60,000 yen/year
2) Subscription License
From 20,000 yen/month
*The use of this adapter requires a separate license for the 'Personal Information Masking System'.
(Initial cost: from 3,000,000 yen, Maintenance cost: from 450,000 yen/year)
Future Developments
Moving forward, both companies will strengthen their partnership to expand the 'Warp' business, including this adapter, and support the sophistication of user companies' business processes. Additionally, by promoting the safe and secure use of AI, they aim to contribute to strengthening the competitiveness of Japanese companies.
Asteria will deploy integration features with diverse data sources across a wide range of industries, promoting AI-driven data utilization while leveraging the benefits of no-code capabilities. They will continue to drive operational efficiency and automation to address the IT talent shortage and solve social issues.
Agre...
Background of the Adapter's Development
In recent years, with the advancement of AI utilization and diversification of information analysis, there is a growing need to utilize data containing personal information across multiple systems and applications, such as generating test data, providing data to external contractors, and AI training. On the other hand, expanding the scope of personal information usage heightens the risk of information leakage. Conventional masking systems (such as blacking out text) intended for personal data protection often compromise the analytical and practical value of the data. Therefore, to promote the utilization of data containing personal information, businesses urgently needed a solution that balances 'ensuring safety' by making individuals unidentifiable with 'useful data quality' that can be leveraged for analysis and testing.
Asteria's data integration tool 'Warp' has secured the #1 share in the Japanese domestic market for enterprise data integration products for 19 consecutive years, serving as software that can connect diverse systems without coding. It enables sophisticated data utilization by linking data between various cloud services and internal systems regardless of programming knowledge.
Unlike traditional masking systems, Agrex's 'Personal Information Masking System' converts personal information—such as names, addresses, and dates of birth—into high-quality fictitious data closely resembling real data, thereby allowing the anonymization of personal data while preserving its attributes.
Against this backdrop, Agrex developed the 'Personal Information Masking System Adapter' for companies using 'Warp'. By combining the strengths of both companies, users can achieve no-code generation of anonymized data and external system integration, facilitating data processing for AI applications, generation of marketing data devoid of personally identifiable information, and test data creation.
Integration Concept of Warp and the Personal Information Masking System
Overview of the Adapter
With this adapter, the masking and conversion features of the 'Personal Information Masking System' can be invoked via no-code from the 'Warp' design interface and incorporated into data integration flows. This ensures personal data is anonymized, converted, and controlled, enabling secure data utilization linked to external systems while maintaining confidentiality, as detailed below:
Secure Data Integration Keeping Personal Data Within the System
Everything from anonymizing personal information to passing data to external systems is completed within 'Warp'. This minimizes the risk of personal information leaks and realizes safe data integration.
No-Code Development Enables Masking Integration Solely Through GUI
Through Warp's no-code environment, even beginners without programming knowledge can build workflows solely by operating flowcharts on screen. This reduces development man-hours and flexibly responds to requirement changes through in-house development.
Applicability to Use Cases Involving Personal Data
Leveraging Agrex's proprietary name and address dictionaries natively built into the 'Personal Information Masking System', data is masked while retaining its intrinsic properties (names remain names, addresses remain addresses). It is broadly applicable to various scenarios involving personal data, including the creation of high-quality test data close to production data, generation of data for analysis, and creation of data for external provision.
Usage Concept of the Adapter
Pricing (Excluding Tax)
1) Standard License
From 400,000 yen
*Separate maintenance service fee from 60,000 yen/year
2) Subscription License
From 20,000 yen/month
*The use of this adapter requires a separate license for the 'Personal Information Masking System'.
(Initial cost: from 3,000,000 yen, Maintenance cost: from 450,000 yen/year)
Future Developments
Moving forward, both companies will strengthen their partnership to expand the 'Warp' business, including this adapter, and support the sophistication of user companies' business processes. Additionally, by promoting the safe and secure use of AI, they aim to contribute to strengthening the competitiveness of Japanese companies.
Asteria will deploy integration features with diverse data sources across a wide range of industries, promoting AI-driven data utilization while leveraging the benefits of no-code capabilities. They will continue to drive operational efficiency and automation to address the IT talent shortage and solve social issues.
Agre...
FAQ
What problem does this adapter solve?
It solves the dilemma of personal data leakage risks in AI development and the degradation of data quality caused by standard masking.
What skills are required to use it?
No programming knowledge is required. Its no-code capability allows workflow construction purely through visual flowchart operations.
What is the total initial cost?
In addition to the adapter license (400,000 yen~), the masking system license itself is required (initial 3,000,000 yen~).