Anonymize personal and other sensitive information on MS Excel and other files
Protect the privacy of data downloaded from SAP S/4HANA, SAP SuccessFactors, and other SAP applications via anonymization. When sharing data for collaboration, business process improvement, analytics, test system creation, and other purposes, these files can be anonymized to de-personalize and de-sensitized. Anonymizing data eliminates the risk of privacy-related violations in the data life cycle. Available in both on-premise and cloud versions.
Overview
Comply with data privacy regulations such as GDPR, HIPAA, CCPA and many others
Anonymize your files containing personally identifiable information (PII) or other sensitive information, and use the anonymized files instead. Thereby complying with incumbent data privacy regulations such as GDPR, HIPAA, CCPA, and many others.
Detect and classify sensitive data reliably, with minimal effort
Use an AI-powered run to automatically discover, classify, and protect all of the personal and sensitive data in the CSV, XLSX, and other supported file types downloaded from your SAP S/4HANA, SAP SuccessFactors, SAP Ariba, SAP ECC, etc. Save time and effort in classification while performing this task with high accuracy.
Eliminate risk of data breaches
Eliminate data security risks by anonymizing personal and sensitive information for privacy when using datasets for analytics, research, or third-party data sharing.
Details
Solution type
Extensions and Add-ons
Industry
Cross-Industry, Banking, Professional Services, Insurance, Healthcare
Compatibility
Works with
Features
Detect and classify data in files with AI
Choose the AI powered run to automatically detect and classify PII and sensitive information. This eases and accelerates the process of detection and classification of sensitive information.
Choose anonymity algorithms as per utility requirements
Choose from a variety of pre-defined options to apply for the anonymization of data. You can also choose to transform data according to a custom expression, clear it, or leave it unchanged. Anonymize the data according to the utility level needed by the use case.
Select the privacy relevance of data
Identify and select the privacy relevance of data. Choose from the three options: "not relevant," "personal," and "confidential." Based on this selection, the privacy enhancing techniques are selected for the transformation run.
Plans and pricing
Custom offer
For availability of the Maya FileSafe in your own environment with custom developed capabilities, contact us to discuss further.
Price upon requestFor availability of the Maya FileSafe in your own environment with custom developed capabilities, contact us to discuss further.
Standard Edition
Get one instance of the MAYA FileSafe on SAP BTP or your private cloud. Monthly billing is done for the number of hours the instance is running.
Includes 1 Instance Per MonthEUR 0.33- EUR per Hours
- Minimum contract 3 months
Get one instance of the MAYA FileSafe on SAP BTP or your private cloud. Monthly billing is done for the number of hours the instance is running.
Includes 1 Instance
Technical Information
| Solution type | Extensions and Add-ons |
| Category | Data and Analytics |
| Industry | Cross-Industry, Banking, Professional Services, Insurance, Healthcare |
| Works with |
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The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
| Deployment |
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| Globalization |
Internationalized for global customers This product has been internationalized to meet the needs of global customers (e.g. the use of Unicode). |
| Operations |
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Resources
FileSafe Documentation
FileSafe Demo with Microsoft Excel file
Use case with financial services
Publisher
MAYA DATA PRIVACY LIMITED
MAYA is a pioneering deep tech startup leveraging artificial iIntelligence (AI) to help mid and large enterprises navigate the complexities of data usage while ensuring compliance with critical regulations such as the AI Act, GDPR, NIS2, HIPAA, CCPA, and DORA. By focusing on secure data utilization, MAYA empowers organizations to maximize their data's potential within regulatory boundaries. Organizations often face significant challenges when managing personal data mixed with insightful business data. MAYA provides AI-driven solutions that not only curate data but also anonymize it as needed, enabling secure and compliant operations across various applications.
