Attack surface reduction is all about reducing the amount of data under management.

Organizations need to take control of their sensitive data to significantly reduce their risk and exposure to data breaches. Attack surface reduction via sensitive data minimization focuses on obscuring volumes of data no longer in use and which are no longer subject to regulatory requirements. Privacy mandates such as GDPR, CCPA, PIPEDA, LGPD, POPI, etc., are making compliance an ongoing challenge for businesses. These regulations require collecting and holding only the minimum amount of personal sensitive data to fulfill a specific purpose.

Consequently, CISOs, DPOs, and data governance specialists need to offer granular management and protection of sensitive data to meet compliance requirements. Moreover, organizations can significantly reduce their operational costs by reducing their sensitive data footprint across the enterprise.

How We Help Inventa is the premier solution for data discovery and data classification of sensitive data at scale. Inventa empowers organizations to determine their sensitive data footprint within their ecosystem and to reduce their attack surface by minimizing the sensitive data in structured and unstructured files, based on tagging and file encryption abilities.

Data Tags can be used to classify risk assessments and context around data assets. This helps organizations reduce their risk and costs, as well as manage their sensitive data better for more optimal regulatory compliance.

Discover More: Whitepaper on Mainframe Data Management

Unlock the full potential of your mainframe data with our comprehensive whitepaper. Learn how’s Contextual-AI technology redefines data discovery and classification for mainframes.


Why Download This Whitepaper?

  • Critical Insights: Understand the importance of data discovery and classification.
  • Best Practices: Implement effective strategies for data management.
  • Real-World Examples: See the impact of our solutions through case studies.

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