Aspects of a data privacy solution that your company must have

Aspects of a data privacy solution that your company must have

Table of Contents

National and state/provincial regulations continue to be adopted and tightened to protect people’ data and allow individuals more choice over how their data is gathered, used, and shared. If you keep personal data, no matter what industry you’re in, you must follow some set of data privacy rules or risk costly audits, penalties, and fines, as well as damage to your brand and image.

Your data privacy obligations

Operationally, the compliance of all companies subject to privacy legislation is determined by how well they prepare and carry out the following tasks and responsibilities:

  • assess when you have applied the legally required requirements for defensive private information 
  • display information get right of entry to activity for inner statistics handlers to make sure compliant behavior 
  • Allocate the sources to fulfill data right requests within the legally required time frame 
  • accumulate and hold the facts important for records right requests

Choosing a solution to satisfy your compliance obligations

Of course, all businesses should seek out solutions that allow them to meet criteria in the simplest and most cost-effective manner possible. As depicted in the figure below, data privacy compliance is a life cycle of processes and procedures. This lifespan should be automated, and the seven qualities described below are crucial to the effort.

  1. Identify and classify personal information

Today, anyone in your organization may establish a database or an unstructured data file, such as a spreadsheet, and populate it with critical data in minutes without telling the security team. A good data privacy solution should have an automated, ongoing discovery process that finds sensitive data like Personal Data in both structured and unstructured data sources, on-premises or in the cloud, and wherever it is stored. This allows you to always know what regulated privacy data you have and where it is stored.

  1. Get a better understanding of connected personal data aspects

Today, a cutting-edge data privacy solution employs proprietary algorithms and automated machine learning to search for linked properties of independent structured data fields that, when combined, form personal data. The solution can preserve or retrieve these linked attributes once they’ve been detected. To effectively automate customer rights requests, related personal data visibility is required.

  1. Efficiently assess rights and hazards

User privileges that are overly permissive provide fertile ground for costly sensitive data breaches. Your business may gain total visibility into existing user entitlements throughout your entire data estate with the proper technology in place, allowing you to swiftly analyze and effectively streamline privileged user policies. You can get a vulnerability assessment that creates a personal data risk profile, scanning to verify proper configurations, and up-to-date CVE patches to get the auditing reports that privacy regulations require and ensure you meet industry standards for securing databases and operating systems, as well as a vulnerability assessment that creates a personal data risk profile.

  1. Gain 360-degree view and control

A solid data privacy solution should constantly collect, normalize, and store data in order to generate an audit trail that reveals who is accessing it, when they are accessing it, and from where they are accessing it. All stakeholders should be able to filter on any data type in any combination in a matter of seconds from a single dashboard for reporting or live investigation. The entire team becomes more efficient at fulfilling their tasks within the privacy management lifecycle as a result of this data view. 

  1. Handle requests for data subjects

Fulfilling Data Subject Access Requests (DSAR) without a trustworthy data privacy solution is a big time and resource drain at scale. Your solution should automate a procedure that selectively accesses data assets that contain personal data, checks for stored linked qualities, and scans those databases to accurately identify the individual.

  1. Defend, respond, and correct

Your solution should include methods for securing personal data and associated sensitive data before a breach occurs. You can correct suspicious conduct before it becomes an incident by continuously and automatically recognising incorrect or risky data access behavior throughout the entire estate and warning you of policy violations or developing dangers.

You should also get plain-language descriptions of what happened – who did it, when it happened, and what data was accessed – as well as live audit data access to speed up real-time forensic investigations into the facts of any compliance or security problem.

  1. Complement your current data security measures

A solid data privacy solution should work in tandem with any existing security or privacy technologies you have and drastically minimize the time and resources needed for audits. To safeguard your data more effectively and gain visibility into risks across all of your data repositories, you should be able to identify and rectify non-compliant data access behavior.





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