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Reality Check

Big Data & Data Lakes Risks for Analytics

Organizations utilize Big Data and Data Lakes for Data Analytics with a huge volume of data, yet require a data-centric security approach to safeguard sensitive data.

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Reality Check

The Reality Check evaluates the current security practices when utilizing Big Data & Data Lakes in the enterprise, provides ways to protect sensitive customer data, comply with data privacy regulations, and enhance trust.

The Reality Check ”Big Data & Data Lakes Risk” utilizes a data-centric security platform (DCAP) to give companies comprehensives control over their data streams.

Implementation

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Defendeer offers two installation options: locally within the corporate network or in the cloud.

A workshop determines the scope, expectations, and process of the Reality Check for sensitive data. Up on completion, a detailed report is provided. Companies can use the insights to assess risks or implement a central Data Centric Security Platform.

Reality Check Benefits

Experience Comprehensive Data Mapping: Gain a deeper understanding of the row of your sensitive data through your Data Lakes, Big Data and Datawarehouse.

Understand Real-time Risk Assessment: Identify potential vulnerabilities and mite-gate risks before they become threats.

Get to know Proactive Monitoring: Continuously monitor data row to ensure the highest level of security for your sensitive data in your volume data environments.

Simplify compliance with regulations, avoiding penalties without altering your data management for data in motion and data at rest.

Implement fine-grained access control, data access activity monitoring, and data de-identification swiftly.

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Requirements Reality Check

  • Selection of 1 DWH or Big Data environment with a representative character
  • Provision of necessary infrastructure, ac- counts, connectivity, etc
  • Allocation of resources for implementation
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Target Audience

  • DPO, data protection, and risk management experts
  • Business data owners
  • CISO and security experts
  • CIO & CTO
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Costs
& Duration

The check includes the implementation of the Data Centric Security Platform and an agent service in defined business applications. All services from Defendeer, including the discovery and monitoring of sensitive data, are included. A final report will present the situation. Costs cover resources, expertise, and technology.

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The Reality Check is based on a fixed price of 4’800.00 (excl. VAT)

The reality check is scheduled to be completed within 4 weeks after the scoping workshop.

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Implementation Plan

step1

Kick-Off

Together, we define the scope, requirements, and objectives as part of this reality check.

step2-0

Definition

Selection of volume data environment (Big Data, DWH etc.), defining the infrastructure, and the collaboration model.

step3

Reality Check Setup

Setting up and configuring the platform, installing agents, and defining sensitivity criteria for data discovery and monitoring.

step4

Reality Check Run

Conduct monitoring, evaluate the results, and generate a report of expected outcomes incorporating additional classication criteria and alerting.

step5

Finale

Presenting the results of the reality check to stakeholders and delivering the final report, along with recommendations.

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Key Features of a Data Centric Security Platform

Fine-Grained Access Control (ABAC)

Attribute-Based Access Control (ABAC) allows for precise data access regulations. Users only access data designated for them, ensuring the security of sensitive information.

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Database Activity Monitoring (DAM)

The DAM solution, specially designed for cloud environments, enables scalable and cost-effective monitoring of database activities. Organizations gain real-time insights, quickly identify suspicious access attempts, and can block them directly, reducing costs and efforts compared to older solutions.

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De-Identification and Data Privacy

The solution uses techniques such as Format-Preserving Encryption (FPE),masking, and Right to Be Forgotten (RTBF) to ensure the privacy and protection of sensitive data, allowing organizations to utilize sensitive information for legitimate business purposes.

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Wide Application and Environment Coverage

The solution supports various applications such as proprietary tools, Big Data, and cloud environments. This ensures consistent data protection across the entire application landscape, regardless of the technology used.

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Scalable & Efficient Platform

The agile approach enables a configurable platform that meets current and future regulatory requirements. Organizations can easily adjust and expand data protection features with the scalable architecture to adapt to changing business requirements.

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No Code Changes Required

The data-centric security platform can be implemented without altering the source code, enabling quick and cost-effective implementation. Organizations can enhance their data security without affecting their application infrastructure.

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Data Privacy for Cloud Environments

This solution simplifies and centralizes data protection and de-identification processes in cloud services (Google, AWS, Azure), ensuring data protection regulations and data sovereignty.

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Data Mesh Security

The platform can seamlessly integrate with Starburst/Trion to enable automated enforcement of data access policies and privacy operations.

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Zero Trust 2.0 | Data Privacy & Data Sovereignty

The approach helps organizations meet technical data protection requirements, implement best practices, and ensure compliance with data protection regulations to protect sensitive data.

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