Privado AI Features

Verifies whether scripts or tracking actions execute before or after obtaining user consent, to ensure proper consent gating behavior.

Supports compliance checks against multiple privacy frameworks and regions (e.g. GDPR, CCPA, LGPD, ePrivacy, Canada, EU, etc.).

Runs recurring scans on a schedule, detect changes over time, and alert users when new privacy risks emerge.

Detects trackers, third‑party scripts, and external domains loaded by a website.

Define custom privacy policies or rules (e.g. block this domain, require consent before X) and receive remediation suggestions.

Includes or interoperates with modules to assess the privacy posture of third‑party vendors, including DPA status, data sharing practices, or contract compliance.

Integrates with or is designed with artificial intelligence features which may include the ability to scan, generate reports, or check website privacy compliance posture against current legal privacy frameworks.

Designed for non‑technical users and may include intuitive UI, plain‑language explanations of findings, etc.

Integrates or interoperates with consent management platforms (CMPs) or tag management systems (e.g. detect CMP signals, block tags conditionally).

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

Maintains detailed logs, HAR files, or snapshots of findings (with precise URLs, timestamps, and request/response data) to support audit defense.

Produce clean, exportable audit reports (e.g. PDF, CSV, shareable dashboards) suitable for internal stakeholders or external audits.

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

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.

Automatically scan websites to identify web trackers, such as cookies

Automatically updates privacy policies based on scans

Generates a Cookie Notice report

Easy to install on existing websites with simple code

Regularly sends scan reports to stakeholders

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