Informatica Data & AI Governance, Privacy Features

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Offers simple search capabilities to discover specific data sets

Allows users and administrators to easily clean data to maintain quality and integrity

Converts data formats of source data into the format required for the reporting system without mistakes

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Allows users to comment on data sets to help future users better interact and interpret the data

Permits profiling of data sets for increased organization, both by users and machine learning

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

Verify, organize, manage & store enterprise data assets in a centralized repository

Ability to handle large datasets

Automates recommendations for users based on machine learning functionality

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

The ability to create fields that automatically mask data such as credit card numbers or passwords.

The ability to mask data in real time as it is entered.

The ability to apply or remove masking after data has been entered.

Tools to mask data using a consistent ruleset.

Tools to mask data using random characters and data.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Generate visual data representations from extracted data.

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

Receive data and information in real time

Extract email addresses from multiple data sources

Retrieval of embedded metadata that is present within a file

Extract documents and document data from data sources

Extract pricing data from multiple data sources.

Extract email addresses from multiple data sources

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.

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

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

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.

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

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.

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Configure existing workflows to meet your organization's needs

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Active monitoring of systems, applications, or networks

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

Meets de-identification requirements under the CCPA.

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

Offers APIs to connect products.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

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.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Graphical representation of data

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Define levels of authorization for access to specific files or systems

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

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

Collect and maintain structured information that describes data or content

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

Indexes metadata descriptions for enhanced insights.

Ensures automation of metadata across the organization. Dynamically improves data management processes.

Embedded collaboration using APIs and in-app integrations.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

Constantly processes metadata to provide intelligent insights.

Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.

Supports 360 degree data visibility via a single dashboard.

Manages quantitative and qualitative data for environmental, social, and governance activities

Combines data from multiple sources such as software solutions, public websites, and spreadsheets

Uses data from third party sources such as Bloomberg and DowJones

Integrate with GRC software such as GRC Platforms, Audit management, and Policy management

Integrate with financial solutions such as accounting and ERP systems

Integrate with EHS software such as Environmental Health and Safety and Quality Management Systems (QMS)

Manage and monitor compliance with government regulations on environmental standards

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

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

Ensure internal objectives and compliance with policies are met

Ability to handle large datasets

Create, manage and track all task activities and progression

Manage global or internal standards that are designed to measure the impact of business processes or procedures.

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

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Provides movement of data from one location to another.

Provides an overall strategy for data governance.

Provides specialization in data-driven insights by direct access to data analysts or end users.

Provides data in structured and readable formats.

Aids in establishing a data fabric with a network of various tools to operationalize data.

Provides users with options of architecture such as centralized or decentralized.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Manage the process of evaluating documents or requests submitted for approval

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Facilitate communications with various stakeholders on ESG initiatives

Help users identify ESG related risks to proactively address them

Evaluate the impact of ESG related risks on the company and its ecosystem

Use AI or GAI technology to optimize ESG management and reporting

Build reports around specific compliance requirements and directives such as CSR and CS3D.

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

Track and report regulatory data to either internal management or external stakeholders

Generates reports to demonstrate AI compliance with local and international frameworks.

Helps AI systems to comply with the regulations.

Maintains detailed logs of activities and changes to AI models.

Evaluates legal, operational and ethical risks posed by AI systems.

Monitors AI models for anomalies continuously.

Restricts access to AI models and sensitive data to authorized users.

Helps sharing AI models and best practices.

Can generate reports on policy compliance trends using AI.

Uses AI to automate common workflow tasks such as policy creation, distribution, and updates.

Alter the layout and content of reports

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

Manage and track all disruptions and incidents

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

Group policies by type for easy classification and discovery

Configure existing workflows to meet your organization's needs

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

Capability to perform complex tasks without constant human input

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

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

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

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

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

Integrates with Active Directory

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

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Provide real‑time visibility into data exposures and activities.

Automatically scan across cloud, SaaS, on‑prem environments to locate and tag sensitive data.

Allow business‑specific or regulatory data labels beyond default frameworks.

Assess data risks against regulatory frameworks and internal policies.

Prioritize findings based on data sensitivity, exploitability, and business impact.

Provide context‑aware recommendations for fixing exposures (e.g., revoke access, encrypt, misconfiguration remediation).

Integrate with CSPM, CIEM, SOAR, SIEM for automated policy enforcement.

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

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

Alter the layout and content of reports

Creation and customization of dashboards

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

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

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

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

Tracking the status of previously identified performance measurements

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

Software program that continuously adjusts its behavior based on observed data

Alter the layout and content of reports

Alter the layout and content of dashboards

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

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

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Streamlining repetitive tasks and activities through automated and predefined workflows

Track revisions and updates made to files and navigate between different versions

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

Timed notification for any upcoming task, deadline, appointment, or activity

Observe and track the demand, usage, progress or quality of a system, product, or user

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

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

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Set & manage permission levels based on user roles and restrict access to only authorized individuals

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

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

A record of all activities within the system, including user access, changes made, etc.

Software program that continuously adjusts its behavior based on observed data

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

Analyze potential risks across the organization

Online portal through which end users can access the system, manage tasks, or obtain information

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

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

Create new policies or alter existing policies

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

A repository of all past and existing policies

Notifications that are delivered to users as soon as an event occurs

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

Pre-designed layouts that can be customized to match preferences and requirements

Retrieval of embedded metadata that is present within a file

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

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

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

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

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

Discover and connect variety of data sources to the application for analysis

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

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

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

Attach digital tags to documents and assets for identification, search, or monitoring purposes

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

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Set & manage permission levels based on user roles and restrict access to only authorized individuals

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

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Centralized repository to store content and assets

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

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

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

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

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

Move from one database to another, or upgrade the version of database software being used

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

Import, collect, and capture data from multiple sources

A record of all activities within the system, including user access, changes made, etc.

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

Alter the layout and content of reports

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Verify the identity of users/devices to enable secure access

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Securely stores data to prevent data loss or breaches

Protect sensitive data for digital privacy

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

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Initiate collection and analysis of known risks

Track the management and flow of data throughout the organization

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

Online portal through which end users can access the system, manage tasks, or obtain information

Allows users to manage data from a number of sources

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

Data is backed up automatically to prevent data loss

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

Pre-designed layouts that can be customized to match preferences and requirements

Allows users to manage data from a number of sources

Form predictions based on past and present data/trends

Timed notification for any upcoming task, deadline, appointment, or activity

Manage and support multiple languages

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

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

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

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

Create, design and manage workflows for repetitive tasks

Track the management and flow of data throughout the organization

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

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

Connect to big data sources

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

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

Import and export data to and from software applications

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

Customize data fields to support various needs and use cases

Collect information from multiple sources

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

Collect and maintain structured information that describes data or content

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

Define levels of authorization for access to specific files or systems

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

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

Import, collect, and capture data from multiple sources

Alter the layout and content of reports

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Creation and customization of dashboards

Track revisions and updates made to files and navigate between different versions

Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database

Software program that continuously adjusts its behavior based on observed data

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Ability to recognize printed or written text within digital images or scanned documents

Software's ability to perform similar action on multiple similar files simultaneously

Assemble data from multiple sources

Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments

AI method of discovering or extracting data patterns from larger volumes of data

Collect, process and structure data from multiple sources for further analysis

Extract structured data from HTML documents for analysis or manipulation

Supports multiple file formats, such as Doc, Docx, PDF, HTML, etc.

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

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

Process and analyze human language in text or audio form

Identify which applications need to exchange data and enable these data connections

Plan availability and assign specific time slots for tasks and resources

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Create labels for products that contain required information such as colors, sizes, dates, etc.

Managing and resolving errors that occur during program execution to maintain stability

Indexes metadata descriptions for enhanced insights.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Collect, process and structure data from multiple sources for further analysis

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

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

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

Move from one database to another, or upgrade the version of database software being used

Configure existing workflows to meet your organization's needs

Create, design and manage workflows for repetitive tasks

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

Group policies by type for easy classification and discovery

Attach digital tags to documents and assets for identification, search, or monitoring purposes

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

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

Protect sensitive data for digital privacy

Retrieval of embedded metadata that is present within a file

Combining data from different sources and providing a unified view

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

An organized inventory of all data assets

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Connect to big data sources

Graphical representation of data

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

A collection of terms that define data key characteristics

Establish guidelines about how much and what kind of data can be stored in the repository

Ability to handle large datasets

Selects, manipulates and analyzes subsets of data points to identify patterns/trends

Conceptual model of how data items relate to each other

Track the management and flow of data throughout the organization

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

Track revisions and updates made to files and navigate between different versions

Regulate who can view information within the system

Software program that continuously adjusts its behavior based on observed data

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

Define levels of authorization for access to specific files or systems

Create, manage and track all task activities and progression

Process and analyze human language in text or audio form

Automatically map and compare AI governance policies with actual development and deployment practices

Identify and prioritize AI risks using advanced algorithms, prevent critical vulnerabilities, and mitigate risks when required

Measure AI systems' ethical alignment to ensure compliance, fairness, transparency, and security

A record of all activities within the system, including user access, changes made, etc.

Embed/link applications into third party software so it can be accessed within a third party system

Manage and track all stages of a product lifecycle, from its conception, design, development, and deployment

Anticipates needs and offers suggestions without prompting