Data Privacy from a Data-Centric Perspective

Data Privacy from a Data-Centric Perspective

Table of Contents

All businesses recognise the importance of having access to their customers’ and prospects’ sensitive personal information. This knowledge is critical in assisting them in forming and maintaining relationships so that they can provide personalised experiences and recommendations. Having this sensitive personal information also makes fundamental commercial transactions go more smoothly.

Consumers can now take advantage of the most transformational developments of the contemporary period to facilitate entertainment, education, knowledge, social sharing, and buying thanks to the digitization of business. Consumers are, for the most part, eager to trade personal information in exchange for something of similar value.

The ongoing fear of a data breach in which cybercriminals steal users’ sensitive personal data is the disadvantage of this arrangement for businesses and consumers. Every day, businesses face the challenges of a changing security landscape and increasingly sophisticated threat vectors. Once a breach has been created, bad actors can use the sensitive data they have stolen for a variety of activities such as extortion, fraud, or selling it on the dark web.

Despite this ongoing threat, businesses continue to gather and manage personally identifiable information. Meanwhile, these businesses are nonetheless subject to data compliance examinations. In this piece, we’ll discuss why sensitive personal data is so difficult to protect, as well as what a modern organization should expect from a data privacy solution.

The landscape of privacy regulations is changing

Data protection law is currently governed by a number of regulations and frameworks in various countries, states, and provinces around the world. These regulations aim to make businesses accountable for data privacy while also giving customers more control over how their personal data is stored and utilised. Regardless of what your company performs, if you keep sensitive personal data, you must protect it. Noncompliance costs more and more money in the form of resource-intensive audits, penalties, fines, and brand damage.

A gap in the management of sensitive personal data

Ask yourself the following questions to obtain a feel of how large your company’s sensitive personal data management gap is:

  • What kind of sensitive personal information do you have on hand?
  • What kind of storage do you have for sensitive personal information?
  • Who has access to sensitive personal information?
  • How are you currently safeguarding sensitive personal information?
  • Is sensitive personal data being used properly?

If you can’t come up with enough solutions, you’re not alone in having a problem with sensitive data management. 54 percent of businesses say they have no idea where their sensitive data is kept. Furthermore, 65% claim they’ve amassed so much information that they can’t categorise or analyse it. What can you do to help them identify and classify sensitive personal data without putting a strain on their finances?

Data Privacy: The Data-Centric SolutionData Privacy is a data-centric solution.

Assessment of rights and hazards that works

Imperva Data Privacy provides total visibility into current user entitlements across your entire data estate, allowing you to analyse and streamline privileged user rules quickly and effectively.

Observing consumer rights requests

The Imperva Data Privacy platform enables enterprises to respond to subject rights demands in a timely and cost-effective manner.

Obtain 360-degree visibility and control

The Imperva system continuously collects, normalises, and saves data in order to generate an audit trail that shows who, when, and from where data is accessed. All stakeholders may filter on any data type, in any combination, in a matter of seconds from a single dashboard for reporting or live investigation. This improves the efficiency of the entire team in carrying out their obligations throughout the privacy management lifecycle.

 


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