The Reality Check, titled “Risks in Big Data” uses a data-centric security platform (DCAP). This platform provides companies with comprehensive control over their data streams. Consequently, it enhances data protection in applications effectively.
Experience comprehensive data mapping, as it enables you to gain a deeper understanding of your sensitive data across data lakes, big data, and data warehouses.
Understand real-time risk assessment, which allows you to identify potential vulnerabilities and, consequently, mitigate risks before they escalate into significant threats.
Get to know proactive monitoring, which continuously tracks data flows and, therefore, ensures the highest level of security for your sensitive data in large data environments.
Simplify compliance with regulations, thereby avoiding penalties while maintaining your data management practices for both data in motion and data at rest.
Implement fine-grained access control and, in addition, monitor data access activity while swiftly applying data de-identification measures to enhance security.
Data Encryption at Rest enhance data security. Therefore, they protect sensitive information, reduce the risk of breaches, and ensure compliance with industry regulations effectively.
The check involves implementing big data security tools and an agent service within specified business applications. Additionally, all services from Defendeer, including sensitive data discovery and monitoring, are included. Furthermore, a final report will present the overall situation. Lastly, costs will cover necessary resources, expertise, and technology.
The Reality Check is based on a fixed price of 4’500.00(excl. VAT)
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The reality check is designed to be quick and focused, wrapping up within just 4 to 6 weeks after the scoping workshop.
During this reality check, the scope is first outlined, then requirements are identified, and finally, goals are determined collaboratively.
First,volume data environment (Big Data, DWH etc.) are selected; then, the infrastructure is defined, and finally, the cooperation model is determined.
Initially, install and configure the platform. Next, implement the agent, and finally, define senstivie data criteria for data flow monitoring.
First, execute data flow monitoring in applications. Then, review results, redefine criteria, complete scans, prepare reports, and conclude tasks.
Begin by presenting the reality check results to stakeholders, followed by handing over the final report and recommendations.
