'Most Innovative Startup 2020' by RSA - Watch the video

Learn More

Organizations today hold a lot of consumer data. This data can range from their names and email addresses to social security numbers and banking information. Although all of this data can be seen as an asset, there is a serious liability attached to them with respect to protecting this data. Privacy regulations such as the CCPA and GDPR require organizations to protect this data at all costs or risk facing fines for non-compliance.

Before we can dive into Sensitive Data Exposure, let's first look at what sensitive data is.

Personal data is any information that relates to an identified or identifiable natural person, whereas non-personal data includes elements that do not have identifiability and uniqueness to a person. Sensitive Data, on the other hand, is any data that reveals an individuals:

  • Health data
  • Biometric data
  • Genetic data
  • Data concerning a natural person’s sex life or sexual orientation
  • Racial or ethnic origin
  • Political opinions
  • Religious, philosophical or political organisation
  • Religious or philosophical beliefs
  • Trade union membership and more

What is Sensitive Data Exposure

Sensitive Data Exposure occurs when an organization unknowingly exposes sensitive data or when a security incident leads to the accidental or unlawful destruction, loss, alteration, or unauthorized disclosure of, or access to sensitive data. Such Data exposure may occur as a result of inadequate protection of a database, misconfigurations when bringing up new instances of datastores, inappropriate usage of data systems and more.

Sensitive Data Exposure can of the following three types:

  • Confidentiality Breach: where there is unauthorized or accidental disclosure of, or access to, sensitive data.
  • Integrity Breach: where there is an unauthorized or accidental alteration of sensitive data.
  • Availability Breach: where there is an unauthorised or accidental loss of access to, or destruction of, sensitive data. This will include both the permanent and temporary loss of sensitive data.

Organizations that collect sensitive data are responsible for its protection and failure to do so can lead to heavy fines and penalties.

Lets take for example, the fines associated with Health Insurance Portability and Accountability Act (HIPAA) and Health Information Technology for Economic and Clinical Health Act (HITECH). HIPAA and HITECH protect a patient's health data and failure to do so can result in potential violations of up to $1.5 million in a year. Since these fines can continue to accumulate over the course of multiple years, this could accumulate to a large sum which can be disastrous for an organization’s growth plans.

To avoid such exorbitant amounts of fines, organizations must implement appropriate measures to protect sensitive data of their customers and prevent any breaches.

How to Protect Yourself From Data Exposure?

  • Catalog Data

In order to protect their consumers data, organizations need to make sure they keep track of all the data stored within their systems and perform an audit. This will give them a clear picture of owners, locations, security and governance measures enabled on the data.

  • Assess Risks Associated to Data

In order to protect data, organizations need to have a clear understanding of the data risk and allocate budgets & resources for risk mitigation activities accordingly. The more sensitive the data is, the higher the risk of harm will be. Even a small amount of highly sensitive data can have a high impact on data subjects.

  • Appropriate security controls

Organizations must have appropriate security controls in place to avoid the occurrence of sensitive data exposures as well as to limit their impacts on data subjects.

  • Instant Action

Organizations must have an effective breach response mechanism in place to immediately respond to sensitive data exposure.

What's next for organizations?

As the world becomes more digital, organizations all around the world have started to collect more and more personal data. The collection and processing of personal data help organizations to not only understand their consumers better and increase consumer satisfaction but also generate revenue. That being said, most organizations have limited visibility into personal data due to the large volume of personal data they collect and their spread across heterogeneous systems. Personal data is distributed across a large number of platforms and systems such as on-premises, hybrid, and multi-cloud data assets.

Sensitive Data Intelligence helps organizations overcome these challenges by creating visibility into personal and sensitive data across all structures of the organization. This visibility helps organizations classify datasets as per their sensitivity, assign risk scores to datasets depending on how much security a particular type of dataset needs, and link data to its correct owners (data subjects). All of this is achieved by streamlined workflows and policy-based automation.

How Securiti can help?

Sensitive Data Intelligence (SDI) is a class of solutions that help organizations discover, analyze, and protect large datasets. These solutions are purpose-built and fully automated for handling petabyte-scale of data across cloud-native & non-native assets, both on-premises and multi-cloud, in structured and unstructured formats.

Securiti’s SDI solution offers the following functionalities:

  1. Build a Catalog of All Shadow and Managed Data Assets
  2. Enrich sensitive data catalogs with privacy, security and governance metadata
  3. Discover sensitive and personal data across any structured and unstructured assets
  4. Enrich the sensitive data catalog with automated classification and tagging
  5. Discover and Centralize Sensitive Asset & Data Posture
  6. Visualize and Configure Data Risk
  7. Build a relationship map between data and their owners

Securiti can enable organizations to improve their command on the sensitive data they hold, in turn making them more compliant with global privacy regulations and a trustworthy brand amongst their customers.

To see how it works and can help your organization, request a demo today!

Bedrock of your Privacy & Security

A Comprehensive Platform

Share this

Our Videos

View More

China’s PIPL

China has drafted its new data protection law, Personal Information Protection Law (PIPL) that will strengthen the regulatory framework for privacy and data protection in China.

Learn More
View More

South Africa’s POPIA Explained

The video gives an overview of South Africa's Protection of Personal Information Act (POPIA).

Learn More
privacy policy and notice management View More

Dynamic Privacy Policies & Notices

Automatically Update & Refresh Your Policies and Notices

Learn More
View More

Universal Consent & Preference Management

Simplify and automate universal consent management

Learn More
View More

Cookie Consent Management

Automate and manage the entire consent life cycle with efficiency for various cookie compliance regulations around the world.

Learn More
View More

Sensitive Data Intelligence

Discover granular insights into all aspects of your privacy and security functions while reducing security risks and lowering the overall costs

Learn More