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Data Access Enforcer

Protect data and ensure need-to-know access anywhere & everywhere

Ensure privacy & protection of data with real-time segregation & masking control

NextLabs Data Access Enforcer (DAE) allows companies to dynamically enforce policies independent of UI, API, Microservice, Batch job, Report, Transaction, and Fiori app, regardless of how the data are being accessed.

DAE Brochure

Explore the brochure on how to safeguard data across an evolving application landscape

Solvay Customer Story

Learn how Solvay improved access management and protection of Export-Controlled and EH&S Data

Data Access Enforcer for SAP ERP Enterprise Edition

Discover how dynamic authorization secures SAP data in real-time through native data-level entitlement and security controls

Ensuring Global Data Access

Protecting Data at the Source


The Vital Importance of Data

Data is the lifeblood of an enterprise. Like water, it needs to be readily available to everyone; at the same time, it must be protected at the source and at the point of use to preserve integrity and prevent breaches.


Data Access & Availability

In order for enterprises to sustain growth and competitiveness while optimizing operations, it is vital to ensure that data is available and accessible. This also allows enterprises to share information quickly and easily across its global workforce, with customers and business partners.


Need to Share vs. Need to Protect

Enterprises face the question of how to collaborate effectively while protecting their critical data. This requires a balance between granting access to enterprise data and safeguarding intellectual property and other sensitive information, in order to maintain data privacy, compliance, and competitiveness.

How can enterprises protect sensitive data and prevent wrongful disclosure without disrupting business continuity?

The Solution:

Apply zero trust principle to enforce "need-to-know" data access.

Fiserv's Implementation Study
Read our case study to learn how Fiserv safeguard financial and customer data with dynamic data anonymization and segregation.

Data is one of the most important assets in today’s organizations. As mentioned, logical data segregation stands out as a simple solution for organizations seeking to safeguard valuable data assets, comply with regulations, and maintain a strong security posture. Flexible and scalable data security solutions as such are essential to adapt to changing requirements while maintaining security in a dynamic digital environment.

For Fiserv, a leading Fintech company, it was critical to be able to securely collaborate and share confidential information, such as customer and financial data, while also retaining agility and cost control. Learn how Fiserv was able to safeguard the confidentiality and integrity of its data using logical data segregation.

Enforce Need-to-Know Access & Data Privacy Policies

Applying Zero Trust principles to implement robust data access security across applications, the solution should control access to data through fine-grained attribute-based policies that are dynamically enforced at runtime, regardless of how the data is being accessed.


Seamless integration with applications, identity providers and attribute sources.


Automates data security and compliance procedures to enhance competitiveness and business agility.


Detects, alerts and applies preventive controls to enforce policy universally on any data store.


Runs in cloud natively, deploys using containers in a hybrid and multi-cloud environments.

Introducing Data Access Enforcer

Secure Global Data Access

Powered by Zero Trust Policy Platform, CloudAz, NextLabs’ Data Access Enforcer provides dynamic data-level security controls and fine-grained data access governance while being UI, API, service and application independent, supporting any Commercial-off-the-shelf (COTS) application with a single set of policies.

Record-Level Data Segregation & Filtering

Segregates data based on policies, enabling authorization based on user attributes such as location, department, project assignment and more.

Field-Level Data Masking

Dynamically masks data with modified content according to attribute-based policies, with Format-Preserving Encryption capabilities.

Real-Time Granular Enforcement

Enforcing attribute-based, identity-aware authorization policies with granular controls over DML actions such as create, update, and delete.

Zero Code Integration

No custom coding required, OOTB support of COTS applications.

Flexible Deployment

Cloud-native support for hybrid and multi-cloud deployment.


  • Protect Sensitive Data – By enforcing data obfuscation and segregation policies, DAE ensures that users can only access the data they are authorized to see, providing unparalleled security and confidentiality.
  • Increase Collaboration – Safeguard business-critical data and prevent wrongful disclosure through central access control and data security policies.
  • Improve Business Agility – Automate data protection and ensure need-to-know data access from anywhere through policy while simplifying change management without coding.
  • Streamline Compliance and Reduce Security Management Costs Improve compliance with various industry regulations such as GDPR, ITAR/EAR, and SOX, while reducing security management costs through the elimination of complex custom code.

Mitigating Today's Access Control Challenges with Dynamic Data Masking and Filtering

Ensuring data protection from unauthorized users is not only important for security, but also for compliance with a variety of regulations. Automating dynamic data masking and data segregation allows enterprises to enforce preventive controls to mitigate the risk of data breach, while ensuring compliance. By using a data access security solution that allows for real-time enforcement, enterprises can mask and segregate sensitive information from unauthorized users.

In doing so, it enables employees and external partners to share critical information and collaborate in business processes to improve workforce productivity and business agility. Watch how sensitive data can be dynamically masked and segregated based upon attributes such as user citizenship, certification, computer system, location, etc. to prevent unauthorized access.

Integrate Seamlessly

Application Enforcer product line provides support for the following ecosystems:


Oracle DMBS, Oracle ERP

Azure SQL, SQL Server, Windows

Linux, PostgreSQL

BigQuery, Google Cloud SQL


NextLabs Resources