Today's businesses operate in a fast-paced world where information travels quickly across endpoints, networks, cloud applications, and external vendors/suppliers. Security officers and IT professionals often find that their organisations are unable to mitigate the risk associated with sensitive data because they cannot see exactly where that data is.

Without complete visibility into the data, there are significant areas of non-compliance, which increases the likelihood of compliance-related issues.

The Visibility Problem: You Cannot Protect What You Cannot See

Many businesses today are still utilising fragmented technology and doing manual inventories, which results in:

  • Sensitive information is being dispersed across unmanaged devices and in Shadow IT
  • Legacy storage systems containing data that no one is actively tracking
  • Unclassified data accumulating in cloud environments on a large scale
  • Inability for organisations with data retention policies to know what data actually exists

The lack of visibility into this type of data makes it very difficult for organisations to comply with evolving global and India-specific privacy regulations, such as the DPDP Act, GDPR, PCI DSS, and HIPAA.

How Data Discovery Establishes Control

Data discovery gets rid of the mess. To do so, it examines, classifies, and maps out where you can find sensitive data - both unstructured and structured. Using AI/ML-based automated scanning, organisations get:

  • A real-time inventory of sensitive data.
  • Context surrounding the type of data, who owns it, why they own it, and where it is found.
  • Visibility into at-risk storage locations.
  • Prioritisation of remediation.

Once built, this foundation is critical to any Data Discovery Management strategy, enabling ongoing monitoring rather than relying solely on one-time assessments.

Mapping Discovery to Privacy Compliance

Having a clear understanding of what the data is, where it’s coming from, and where it’s going enables enterprises to align privacy controls with the regulations they must comply with. Effective data discovery supports

- Lawful processing and limitation of purpose by providing accurate classification

- Minimisation of Data by removing duplicate and/or inactive data from your environment

- Administrative fulfilment of Data Subject Rights (i.e. access, deletion, and correction)

- Timely response to Data Breaches with accurate impact analysis

Conclusion: Build compliance on a strong foundation. 

Without Data Discovery, compliance with privacy regulations becomes a guessing game; with Data Discovery, enterprises will have the visibility necessary to create accountability and governance to comply with international standards.

Find out how Seqrite’s Data Discovery & Data Privacy solutions can help your enterprise achieve 100% visibility and increase your compliance.