Organizations are transforming with Cloud Modernization, Big Data, Customer Centricity and Data Governance. The foundation for these initiatives is critical business data, that allows organizations to deliver faster, more effective services and products for their customers. But, managing and controlling this data is key to business continuity and the management of business risk.


First, most have limited intelligence of their customer data, its location, risk, and proliferation; moreover, they do not understand who is accessing the data, how it is protected and if there is suspicious use or access.  Organizations need this intelligence to guide data protection, compliance and governance investments and decisions. Additionally, they can not ascertain compliance without understanding the risk of their regulated data; they need to track regulation compliance risk and automate its remediation.

In addition, despite the investment of billions of dollars for information security and governance, organizations struggle to understand and protect their most valuable assets: confidential and sensitive data.Understanding sensitive data risk is key. Data risk analysis includes discovering, identifying, and classifying it, so data stewards can take tactical and strategic steps to ensure data is safe. 

At Datalumen we want to be your practical data protection partner that can assist you with outlining the organizational leadership, styles and priorities combined with fit-for-purpose tools and technology, we make your data security initiatives achieve success. We help you manage risk with end to end data protection services & solutions that enable you to:

Discover & Classify -  Measure & Monitor - Detect & Protect - Analyze & Audit


According to the Ponemon Institute,
only 25% of companies
monitor access & activity
of sensitive data.


Discovery &
Test Data

Data Discovery
& Classification

Our Data Discovery & Classification solutions help organizations detect and protect critical data across their orgizations, lowering the risk of cloud modernization, big data, and customer-centricity initiatives. It leverages artificial intelligence (AI) and machine learning to deliver actionable data discovery and classification, risk scoring, behavioral analytics, and automated protection in a single solution. It supports both structured and unstructured data, cloud, on-premises, and big data anywhere as well as any relational systems.

  • Powerful analysis and visualizations of sensitive data by function, geography, cost, and policy for audit and governance
  • Accelerate compliance with data classification policies for the identification, risk analysis, and remediation of sensitive assets
  • Continuously monitor and track sensitive data risks that threaten data security, compliance, and privacy
  • Support of security operations efficiency with automated orchestration of data security remediation
  • Identify unusual user behavior or data access that present risk to the organization

Data Masking

Data Masking de-identifies data and controls unauthorized access to production environments. Our solutions dynamically mask sensitive information and blocks, audit and alerts end users, IT personnel and outsourced teams who access sensitive information while ensuring compliance with privacy regulations.

  • Policy-Driven, Role-Based, Real-Time Database Security and Monitoring
    Our Dynamic Data Masking applies security actions in real time to dynamically mask, scramble, hide, block, audit, and alert about unauthorized access. It restricts access based on screen, table, column, row, and cell access level.
  • Scalable and Easy to Configure
    Our solution scales to support hundreds of databases with a single installation. It enables quick and consistent access restriction across tools, applications, and environments by defining data masking policies once and applying them multiple times. You can apply data
    masking algorithms to any sensitive data, in any format.
  • Versatile and Nonintrusive to Applications or Databases
    While supporting virtualized and cloud-computing environments, Dynamic Data Masking prevents unauthorized access to custom applications, packaged applications, data warehouses, and operational data stores without performance impact.
  • Integration with Authentication Software
    Our Dynamic Data Masking provides business-critical information only to those required to see the data, based on selectively applied security rules. The solution also leverages your existing identity management software to speed implementation time and increase your security footprint on applications and tools.
  • Real-Time Data Masking and Blocking
    Functional appearance and integrity of masked data is maintained for complex applications by synchronizing data values across rows and tables.

Data Encryption
& Tokenization

We enable you to protect your data across your organization regardless of where it’s stored or where it resides. It doesn’t matter if it’s in the cloud, on a big data cluster, or on a mobile device. All protection, reporting, and policy management is all performed from an intuitive central managed environment.

According to Gartner, “The exponential growth in data generation and usage across multiple data silos is rendering current data security methods obsolete, requiring significant changes in both architecture and product selection approaches.”

Test Data

Software testing can take upwards of 50 percent of the time required to develop and deploy new initiatives or rollout upgrades or patches to existing systems. During the testing process, finding, securing, and provisioning of test data that meets test case requirements can present a significant challenge.

If representative data exists in production databases, test teams can request non-production, masked copies of the data. This can take weeks to months to have entire databases provisioned for use by testers, inserting delays in your agile development processes. If data does not exist, testers can manually create data sets. This can be difficult, however, and the breadth of test case coverage can be limited.

Our Test Data Management (TDM) solution meets the broad range of demands across application owners, infrastructure and operations, developers, testers, QA, and compliance teams.

  • Sensitive data discovery and classification
    Automate the identification of sensitive data locations for consistent masking within and across databases.
  • Data warehouse with self-service
    Testers can store, augment, share, and Reuse test datasets to improve their efficiency in testing.
  • Data subset
    Provision smaller datasets based on test plan requirements. Minimize infrastructure requirements and speed performance.
  • Data masking
    Provides comprehensive set of masking techniques that can consistently mask data across applications.
  • Pre-built application accelerators
    Support for packaged applications to ensure application integrity and speed deployments.
  • Monitoring and compliance reporting
    Engage compliance, risk, and audit teams to ensure ongoing alignment with data governance initiatives.



Data volume growth in your business applications is inevitable. But it’s also a liability. With far-reaching implications, this growth impacts your ability to meet service level agreements (SLAs) and control your infrastructure and support costs. Every new application that you deploy not only increases the growth of your enterprise data, but also leaves behind one or more legacy applications and related data. Without a comprehensive strategy, the costs associated with managing the data for your applications portfolio and its required infrastructure will burden your IT budget.

Datalumen can alleviate the burden. It puts you in complete control of your enterprise application data by defining performance and retention policies across your portfolio of mission-critical and legacy applications.

  • Accelerate innovation by minimizing IT resources and budget on inactive data stored in production application environments
  • Achieve 6X and higher application performance with existing hardware
  • Enforce data compliance by managing the entire lifecycle of data, from creation to end-of-life
  • Modernize and consolidate data centers by retiring legacy applications
  • Implement archiving best practices across ERP, CRM, data warehouses, cloud and custom applications

Data Domain Discovery 

Pinpoint and protect sensitive data

Do you know where your sensitive data is located? Is this data safe?  Is your data classified in different security classes with the appropriate governance around it?  Are you sure that there is no dark data in your company that contains privacy sensitive information? If you don’t know the what-where-why of your data, it is virtually impossible to apply the appropriate policies and controls to protect it.

The exponential growth of data and its use make locating and getting insight in critical data throughout the enterprise a challenge. The need to comply with the latest regulations and minimize data risk adds to the challenge. Discover your data and get control.

Datalumen can provide you a data domain discovery scan.  In a non-intrusive way your data will be analyzed and percentage-scored for the different data classifications like PII (Personally Identifiable Information), PCI (Payment Card Industry), PHI (Personal Health Information), etc.  If needed, these discovery mechanisms can be extended with your company specific classes.  This data domain discovery scan will help you to identify your important data and allow you to take the appropriate measures.


  • Discover & classifies sensitive data
  • Specify and potentially perform remediation actions
  • Recommend and implement a secure operating environment

Typical Duration

  • 1 - 2 Weeks