DataGrail Features

Data Subject Access Request (DSAR) functionality helps companies comply with user access and deletion requests.

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.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through manual surveys sent to company employees.

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.

Data classification features tag the discovered data to make it easy to search, find, retrieve, and track.

De-identification or pseudonymization features replace personally identifiable information with artificial identifiers, or pseudonyms to comply with privacy regulations.

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.

Website tracking scanning features help companies understand what cookies, beacons, and other trackers are on their websites.

Data Access Governance functionality helps limit the number of people who have access to data unless they are permissioned to do so.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Create, manage, and track policies and procedures within an organization

Pinpoint and mitigate risk from third-party vendors and suppliers.

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Searchable repository of information about clients

Ensure internal objectives and compliance with policies are met

Detect (and block) vulnerabilities and threats in your applications based on vulnerability information

Process of identifying, evaluating, mitigating, addressing and reporting on potential risks or uncertainties

Collect and maintain structured information that describes data or content

Manage and store data in a database

Track and manage adherence to policies for any service, product, process, or supplier

Identify sensitive or personal information collected from users

Initiate collection and analysis of known risks

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.

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

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Collect and maintain structured information that describes data or content

Create, design and manage workflows for repetitive tasks

Track and manage adherence to policies for any service, product, process, or supplier

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

Anticipates needs and offers suggestions without prompting

Set up connections to third-party platforms to improve business processes

Graphical representation of data

Interact with data visualization elements, such as charts and graphs, to drill down into data

Allows users to manage data from a number of sources

Identify sensitive or personal information collected from users

Import and export data to and from software applications

Review data from past periods to reveal recurring tendencies and predict future performance

Translate EDI formats into data suitable for use with company applications.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search and filter data across systems to locate required information by entering keywords or certain criteria

Public or private sharing of digital files such as documents, audio/video, images, and more

Application programming interface that allows for integration with other systems/databases

Alter the layout and content of reports

Creation and customization of dashboards

Form predictions based on past and present data/trends

View and track pertinent metrics to find patterns and gain insights from data

Use AI to generate content in the form of text, images, videos, etc.

Access, combine, transform, and store data without the help of an IT department

Connect to big data sources

Track the management and flow of data throughout the organization

Define levels of authorization for access to specific files or systems

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Track and document all activities across devices, networks, and other systems

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Assemble applications and processes by dragging over and arranging pre-built components

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Share pre-configured sets of data organized and presented in a specific manner with the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

One-off queries made on an as-needed basis

Conceptual model of how data items relate to each other

Software program that continuously adjusts its behavior based on observed data

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Allow users to access multiple services after entering their login credentials once

Use AI to generate content in the form of text, images, videos, etc.

Define levels of authorization for access to specific files or systems

Data is backed up automatically to prevent data loss

Verify the identity of users/devices to enable secure access

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Compliant with HIPAA, which sets standards for sensitive patient data protection

Track the management and flow of data throughout the organization

Receive alerts and reports of security problems including password breaches

Modification of sensitive data to make it invaluable for unauthorized intruders

Gives visibility to the origin, history, transformation and location of data

Provides a channel for team members to share media files, communicate, and work together

Ability to restore deleted, hidden, or lost data from an email server/system

Addition of necessary external data, applications, tools, or features

Allows users to secure content and data for any use.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Application programming interface that allows for integration with other systems/databases

Protect sensitive data for digital privacy

Securely stores data to prevent data loss or breaches

Request from data subject to data controller to access, change or delete personal/sensitive information

Data impact assessments to identify and mitigate potential data risks

Convert data into a code for security

Ensure compliance with the General Data Protection Regulation protocols