Privacy1 Features

Based on 12 Privacy1 reviews. Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations. This feature was mentioned in 11 Privacy1 reviews.

Tools to create and adjust workflows to ensure consistency. 11 reviewers of Privacy1 have provided feedback on this feature.

Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 12 Privacy1 reviews.

Based on 10 Privacy1 reviews. Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Based on 11 Privacy1 reviews. Provides guidelines or training related to sensitive data compliance requirements,

As reported in 12 Privacy1 reviews. Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse This feature was mentioned in 12 Privacy1 reviews.

Meets GDPR requirements for pseudonymisation under the Data Protection by Design and by Default requirements.

Meets de-identification requirements under the CCPA.

Based on 12 Privacy1 reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model

Based on 11 Privacy1 reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters

As reported in 11 Privacy1 reviews. Compile data from across all systems so that users can view relevant information easily.

Data Subject Access Request (DSAR) functionality helps companies comply with user access and deletion requests. This feature was mentioned in 18 Privacy1 reviews.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Privacy Impact Assessment (PIA) features help companies evalute, assess, track and report on the privacy implications of their data. 18 reviewers of Privacy1 have provided feedback on this feature.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through manual surveys sent to company employees. This feature was mentioned in 16 Privacy1 reviews.

As reported in 15 Privacy1 reviews. Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through automated machine learning.

Data discovery features collect and aggregate data from a variety of sources and prepares it in formats that both people and software can easily use it to then run analytics. 17 reviewers of Privacy1 have provided feedback on this feature.

Data classification features tag the discovered data to make it easy to search, find, retrieve, and track. This feature was mentioned in 16 Privacy1 reviews.

De-identification or pseudonymization features replace personally identifiable information with artificial identifiers, or pseudonyms to comply with privacy regulations. 15 reviewers of Privacy1 have provided feedback on this feature.

As reported in 17 Privacy1 reviews. Data Breach Notification features help companies automate their breach response to stakeholders.

Consent management features help companies obtain and manage user consent when collecting, sharing, buying, or selling a user's data. 16 reviewers of Privacy1 have provided feedback on this feature.

As reported in 18 Privacy1 reviews. Website tracking scanning features help companies understand what cookies, beacons, and other trackers are on their websites.

As reported in 17 Privacy1 reviews. Data Access Governance functionality helps limit the number of people who have access to data unless they are permissioned to do so.

Offers traditional static de-identification (also known as consistent replacement), where the pseudonymized data uses the same pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox and the Robert Fox name is used multiple times. This type of pseudonymization carries some risks of re-identification if paired with enough datasets.

Offers dynamic de-identification (also known as random replacement), where the pseudonymized data uses different pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox once, and then the next time the data is used the name changes to Michael Jones. This type of pseudonymization carries lesser risk of re-identification if paired with many datasets.

Offers methods to de-identify large volumes of data using batch files.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Offers workflows to process Data Subject Access Requests to enable multiple departments to assist when complying with user access and deletion requests.

Offers a user-facing portal for data subjects to request access to their data.

Has reporting and log functionality to prove that companies are in compliance with mandated response time, per privacy laws such as GDPR, CCPA, and others.

Has a centralized view of PIA software functions, such as tracking, templates, and reporting

Offers tracking functionality to manage privacy impact assessments during its lifecycle

Offers assessment templates which can be customized to meet business needs

Offers workflows to enable multiple departments to collaborate on privacy impact assessments.

Has reporting and analytics functionality to highlight risks and compare analyses.

Offers a dashboard to capture, store, and manage granular user consents

Provide reporting functions showing granular data to demonstrate compliance to regulators

Integrates with marketing software and other analytical tools

Allows end-users to manage their preferences online

Shows audit trails of how user consent preferences have changed

Offers APIs to link to your data

Offers a mobile SDK to use consent management tools on mobile apps

Offers customizeable designs to match corporate branding

Offers server-side storage of consent, not client-side, for compliance reporting purposes

Connects to mobile platforms using a mobile SDK.

Offers APIs to connect products.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools. This feature was mentioned in 10 Privacy1 reviews.

As reported in 12 Privacy1 reviews. Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Based on 11 Privacy1 reviews. Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. 12 reviewers of Privacy1 have provided feedback on this feature.

Based on 12 Privacy1 reviews. Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Authenticates and authorizes individuals to access the data they are allowed to see and use. 12 reviewers of Privacy1 have provided feedback on this feature.

As reported in 12 Privacy1 reviews. Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms. 11 reviewers of Privacy1 have provided feedback on this feature.

Based on 12 Privacy1 reviews. Defines, validates, and monitors business rules to safeguard master data readiness.

Based on 12 Privacy1 reviews. Allows users to create and review data policies to make them consistent across the organization.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases