Best Data Privacy Management Software

What is Data Privacy Management Software?

Why Use Data Privacy Management Software?

Who Uses Data Privacy Management Software?

Kinds of Data Privacy Management Software

Data privacy management software is a relatively new addition to the technology solutions landscape and hence, many vendors in this space are only a few years old. Given how new this area is, companies are rapidly improving their offerings and technology solutions for their customers. At present, the main differentiators of this software involve which data privacy regulation compliance it supports and how the software discovers sensitive data.

Regulation-specific software — Many data privacy management software tailor their solution to a specific privacy regulation. For example, the more mature software markets focus on GDPR-related data privacy compliance as it was one of the first robust data privacy legislation. Other software providers tailor their solutions to meet CCPA or LGPD compliance. Some data privacy management solutions are regulation agnostic and can be tailored to fit any privacy regulation; these flexible solutions may be particularly helpful in addressing state-specific or local privacy regulations.

Automated vs. manual data discovery — The first steps for privacy compliance require an understanding of where a company’s sensitive data, such as PII, protected health information (PHI), payment card industry (PCI) data, intellectual property (IP), and other important business data is stored across multiple company systems including databases, applications, and on user endpoints. Data privacy management software includes methods to locate this data either with manual surveys or automated discovery.

• Manual surveys — One method to uncover where a company stores sensitive data is to ask company employees who manage data where sensitive data is stored. This requires staff to manually fill out surveys or excel spreadsheets. Some data privacy management software providers offer prebuilt survey templates and workflow tools to administer this tedious process.
• Automated discovery — Automated sensitive data discovery tools connect to a company’s databases, applications, and other data repositories and crawl for, identify, and classify sensitive data automatically. These tools offer up-to-date reports which can be beneficial when responding to auditor or data subject access requests. Many of these tools offer visual representations of the data so the user can see where the overall data is stored geographically and also create a map of an individual data subject.

Data Privacy Management Software Features

The main functionality of data privacy management software revolves around sensitive data discovery and mapping, DSAR management (or consumer request management), and consent management. The software often provides additional functionality or integrates with separate solutions to offer a host of other useful features. Some of the main features of data privacy management software include:

Sensitive data discovery and mapping — Sensitive data discovery functions help businesses locate sensitive data stored across company systems and map the use of that data.

Data subject access request (DSAR) management — DSAR software provides a DSAR intake form to accept data subject’s request to access, port, or delete their PII; provide a centralized view of all DSARs in process; alert administrators when it is getting close to the legally mandated response time; provide workflow tools to process DSARs across the organization; help with reporting tools and logs. Some tools also offer an encrypted communication portal to securely communicate and transfer DSAR data to a data subject.

Consent management — Consent management is increasingly becoming an important feature of data privacy management software as many data privacy regulations require either opt-in or opt-out consent from users before collecting, using, sharing, or selling their data. These features help companies obtain, track, manage, and update their user consent preferences to adhere to privacy regulations.

Additional Data Privacy Management Features

Vendor assessment management — Helps companies understand and determine risks associated with sharing sensitive data with their third-party vendors.

Cookie compliance — Allows companies to ensure the cookies and other trackers they use on their website comply with user consents.

Data breach notification — Assists companies in informing end users if their information has been compromised in a data breach.

Identity verification — Helps companies authenticate the identity of a consumer prior to processing a DSAR.

Data de-identification or pseudonymity — Reduces the risk of holding PII and other sensitive data by pseudonymizing the data.

Privacy impact assessments (PIA) — Helps companies go through the steps of a privacy impact assessment, as required by some data privacy regulations.

Legal information libraries — Provides an up-to-date library of information on data privacy laws and regulations that a company is subjected to, based on their location, size, with whom the company does business, and other determining factors.

Trends Related to Data Privacy Management Software

Legislation-agnostic solutions — Given that additional privacy laws may come into force in the near future, especially at a state level, complying with multiple laws can become laborious. While legislation-specific software has a place today, we may continue to see a trend of privacy-regulation agnostic solutions that can be tailored for any kind of privacy regulation.

Automated data discovery — Some data privacy solutions offer manual data discovery tools while others offer automated functions. From an industry perspective, a number of vendors have made investments in developing automated data discovery. Hence, this method may be more common as the software market develops. Typically, the software with a prior legal or GRC-related origin tends to offer manual data discovery tools, while software that has security-based origins provide automated data discovery tools. For small businesses or businesses with a low amount of sensitive data, survey-based tools may be sufficient for now. Survey-based sensitive data discovery is also a way to find data that may live on legacy systems or in applications that cannot be discovered using an automated method, such as paper files. For large enterprises and companies that have embraced the digital transformation or are digital natives, however, automated discovery would be easy to add to the mix of other software as a service (SaaS) products.

Software and Services Related to Data Privacy Management Software

Data privacy management software may either contain multiple modules to address the following needs or integrate with the separate software solutions to do so.

Sensitive data discovery software — Sensitive data discovery software helps businesses locate sensitive data—such as PII, PHI, PCI data, IP, and other important business data—stored across multiple company systems including databases and applications as well as on user endpoints.

Identity verification software — Identity verification software helps ensure a person or an online user is who they say they are in reality. Prior to processing a consumer’s request to access, port, or delete the data a company holds on them, it is important that the company verify the consumer’s identity.

Consent management platform — Consent management platforms help companies obtain and manage user consent when collecting, sharing, buying, or selling their data online.

Data subject access request (DSAR) software — DSAR software helps companies comply with user requests to access or delete PII that a company stores on individuals, as mandated by GDPR, CCPA, and other privacy regulations. DSAR tools help ensure requests are fulfilled within the mandated response time frame, offer workflows to help people across an organization, collaborate on locating data, and ultimately provide the data to the requesting user.

Cookie and website tracker scanning software — Cookie and tracker scanning software scans websites to identify and list what cookies, beacons, tags, tracking pixels, local objects, and other website tracking technologies (such as plugins or integrated content like videos) are present. This allows companies to disclose those trackers to users, gain user tracking consent, and ultimately comply with privacy regulations such as GDPR and ePrivacy that require user consent before enabling cookies.

Privacy policy generator software — Generally, any company that collects PII, including email addresses or cookie data, should have a privacy policy in place.

Privacy impact assessment (PIA) software — PIA software facilitates the operationalization of the privacy impact assessment process, especially when handling complex organizations, policies, or systems at scale, thus reducing the amount of time spent conducting PIAs.

Encryption software — Encryption software uses cryptography to mask files, text, and data, protecting information from undesired parties.

Data masking software — Data masking software protects an organization’s important data by disguising it with random characters or other data in a way that it is still usable by the organization but not external entities.

Data de-identification/pseudonymity software — Data de-identification/pseudonymization software allows companies to use realistic, but not personally identifiable datasets. This protects the anonymity of data subjects whose personal identifying data, such as names, dates of birth, and other identifiers are in the dataset. De-identification or pseudonymity solutions help companies derive value from datasets without compromising the privacy of the data subjects in a given dataset.

Data breach notification software — In the event of a data breach, data breach notification software helps companies document the breach, report to supervisory authorities as required by law, and notify impacted individuals.