Fight modern privacy risk with modern technology

Eliminate manual compliance work and reduce risk with complete data visibility and AI agents

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Text reading 'Privacy Impact Assessment - Project X' on a transparent background.
Button with upload icon and text 'Upload New Doc'.
Two uploaded PDF documents named customer-app-prd.pdf and customer-app-mrd.pdf with an outlined button labeled Upload New Doc.
Text that reads 'List all specific types of Personal Data that will be involved' in bold green font on a white background.
Graphic showing headings DATA ELEMENT, SENSITIVITY, SOURCE, and STATUS in bold uppercase letters spaced across a green background.
Labels showing Email Address as Contact Data with a Medium priority tag, an Added by Agent badge, and a Review button.
Labels reading Precise Location with Location Data below, a red High badge, a purple and red Added by Agent badge, and a gray Confirmed badge.User information section showing 'First and Last Name' under Personal Identification, a Low risk label, a small profile photo with text 'Added by John Doe', and a Confirmed status label.Four light gray horizontal rounded bars evenly spaced on a white background.
Illustration of an assessment agent represented by a computer monitor with a checklist, connected to data elements identified, shown as lines of text with colored highlights.Email Address input field with placeholder text.Text highlighting that users' email addresses are identified as personal data processed during sign-up for account ID, marketing, and advertising.Section titled 'Data Processing Section, Pages 3, 5' with a PDF icon and link named 'customer-app-mrd.pdf', followed by text describing user input fields for account creation including email, password, name, phone number, and physical address.Dropdown menu labeled 'First and Last Name' on a green background.Interface tab with the label 'Precise Location' and a downward arrow icon.
User interface of an email address input field with tabs for Data flow and Code analysis.
Data Flows section listing Sharing with 3 Third Parties, Storage with 1 Database, Leakage with 3 Logs, and a Discovered in 6 repositories section naming mobile-app, webstore-db, payments-api, consumer-services, and ai-beta.
Sharing
Storage
Collection
Tiktok
Sendgrid
Slack
AWS
Webstore
Android app
Text reading 'Web Auditor' on a transparent background.
Cookie consent notification on a device screen with options to Accept, Reject, or access Cookie Settings.
Dropdown menu labeled California with downward arrow indicating options.
Text reading 'Consent banner loads properly' with a green checkmark icon on a light green background.Text reading '3rd party cookies dropped despite GPC opt out' in dark green font on a transparent background.Text stating 'Network requests made despite manual opt out' with a red circular icon on the right.Green checkmark icon next to the text 'No sensitive data shared' on a white background.A simple progress bar near completion with a red circular button on the right.Red circular button with white power symbol on a black background.
Text stating that third-party advertising cookies are dropped despite GPC opt-out signal, noting the issue was created by privado-scan on 17 May at 03:31 pm.Icons and text showing a globe with 'Website' and a location pin with 'Geography', followed by blurred and obscured text.Interface showing evidence tab with text about advertising cookies not being set when GPC opt-out is configured, listing cookies from px.ads.linkedin.com and Google Ads.
Agentic Assessments
Dynamic Data Maps
Auto-Risk Discovery
User interface of a Privacy Impact Assessment for Project X listing personal data types like Email Address, Precise Location, and First and Last Name with sensitivity levels and source details; detailed assessment for Email Address shown on the right.Privacy Impact Assessment for Project X showing uploaded documents customer-app-prd.pdf and customer-app-mrd.pdf, listing types of personal data: Email Address with medium sensitivity added by Agent, Precise Location with high sensitivity added by Agent, and First and Last Name with low sensitivity added by John Doe.
Email Address data flow diagram showing sharing with Tiktok, Sendgrid, Slack; storage on AWS; and collection from Webstore and Android app.Data flow diagram showing Email Address connecting to Sharing (Tiktok, Sendgrid, Slack), Storage (AWS), and Collection (Webstore, Android app).
Web Auditor interface showing cookie consent banner and audit results with issues flagged for third-party cookies and network requests despite opt-outs.Web Auditor interface showing a cookie consent banner on a webstore page and a compliance report for California with green and red status indicators for cookie and data sharing checks.
Agentic Assessments
Dynamic Data Maps
Auto-Risk Discovery
Trusted by privacy leaders at
Problem

Manual privacy solutions can’t keep up with today’s technology

Today’s Privacy Solutions

Questionnaire-based software for data maps and assessments 

Manual compliance testing for websites, apps, and CMPs 

Today’s Technology

Websites, apps, and backend software get updated weekly

More 3rd party AI tools are used to process more data, faster

The Result
High resource strain
Inaccurate data maps and assessments
Widespread privacy violations
How We Solve it

Privado AI modernizes privacy with complete data visibility and AI agent automation

Code
Websites
Mobile Apps
3rd Party Apps
Contracts
Documents

COMPLETE PERSONAL DATA VISIBILITY

PRIVADO AI AGENTS

AUTOMATED PRIVACY GOVERNANCE

Dynamic Data Maps

Continuously updated as data flows change

PIAs, DPIAs, RoPAs

100% populated by AI agents that scan docs

Web Risk Auditing

Real-time monitoring to verify website compliance

App Risk Auditing

Real-time monitoring to verify app compliance

Code Risk Auditing

Code scanning to identify risks pre and post release

Mobilize AI agents to scale privacy compliance efforts

Assessment Agents

Analyze documentation and prefill PIAs

Data Map Agents

Eliminate blind spots across data sources

Risk Agents

Simulate user journeys to uncover more risk

PRODUCTS

Enable privacy to keep up with technology

Privacy Impact Assessment table for Project X showing purposes of data processing including Advertising, Customer Support, Provide Service or Features, and Direct Marketing with their sources and statuses.
AGENTIC ASSESSMENTS

Populate 100% of assessments with AI agents

Populate entire PIAs, DPIAs, & RoPAs with agents that analyze imported documents such as product requirement documents, Jira tickets, technical specs, contracts, & business proposals. Instantly generate data flow diagrams and sync assessments with data maps in Privado.ai

Learn more
Data mapping diagram showing IP Address linked to Sharing with Meta and AppsFlyer, Storage with Snowflake, and Collection with Android app.
DYNAMIC DATA MAPS

Unlock full data visibility without questionnaires

Build comprehensive and real-time data maps for all processing activities without manual assessments. Scan all 1st party software, 3rd party software, contracts, & documentation to identify all personal data elements, third parties, data flows, & purposes of processing.

Learn more
Website privacy check interface showing California selected with a consent banner on carpet background stating cookie acceptance details and status indicators for privacy items.
WEB AUDITOR

Prevent website privacy violations

Continuously scan your websites to verify consent banners, cookies, pixels, and data flows are compliant with each privacy law in each location, including CCPA, CIPA, VPPA, GDPR, etc.

Learn more
Privacy check results for a mobile app in the United Kingdom showing consent banner and user ID issues marked with red, no sensitive permissions and data shared marked with green.
APP AUDITOR

Prevent app privacy violations

Scan iOS and Android app files after each update to verify consent banners, SDKs, and data flows are compliant with each privacy law in each location, including CCPA, CIPA, VPPA, GDPR, etc.

Learn more
Privacy Impact Assessment table for Project X showing purposes of data processing including Advertising, Customer Support, Provide Service or Features, and Direct Marketing with their sources and statuses.Data mapping diagram showing IP Address linked to Sharing with Meta and AppsFlyer, Storage with Snowflake, and Collection with Android app.Website privacy check interface showing California selected with a consent banner on carpet background stating cookie acceptance details and status indicators for privacy items.Privacy check results for a mobile app in the United Kingdom showing consent banner and user ID issues marked with red, no sensitive permissions and data shared marked with green.
CASE STUDIES

How Privado AI drives customer value

View customers
Man wearing a white helmet and black sportswear standing next to a motorbike with green leafy background.
“Privado AI provides visibility of what's really going on with personal data across our tech stack and automates manual controls, such as privacy reviews.”
View case study
Aaron Weller –
 Privacy Innovation & Assurance Leader
Young woman in a yellow jacket holding an HP laptop walking on a campus with blurred people passing by.
People at an indoor exhibition with digital displays and a curved wall featuring the logo 'here'.
“Privado AI ensures that our privacy compliance reports match our data flows even as our product evolves.”
View case study
Aleksandra Kovačevićl –
Director, Head of Product Trust
People at an indoor exhibition with digital displays and a curved wall featuring the logo 'here'.
Modern indoor space with wooden tiered seating, glass ceiling, and people walking and sitting.
“Privado AI helped us prevent any accidental sharing or tracking in our product by enabling us to structurally build privacy into our SDLC.”
View case study
Puneet Thapliyal –
CISO
Modern indoor space with wooden tiered seating, glass ceiling, and people walking and sitting.
Dynamic Data Maps
Smart Assessments
Digital Tracking Governance
View customers
RESOURCES

Learn more

Announcing Lineup for Bridge Summit 2026

Illustration of two hands each holding a chain link, one white and one green, against a blue background.

The End of Trust: It’s Time to Shift to Evidence-Based Privacy

Circle of laptops with red shields and X marks on screen surrounding one laptop with a green shield and check mark.

Consent Monitoring: How to Automate CMP Audits and Eliminate Privacy Risk

FAQs

For any further questions,
send us a message hello@privado.ai

How does Privado AI use AI agents to automate privacy assessments?

Our agents scan your documentation to populate entire PIAs, DPIAs, RoPAs, etc. Import any document related to an assessment such as product requirement documents, Jira tickets, technical specs, contracts, and business proposals.

How does Privado AI build dynamic data maps?

Privado AI builds complete data maps for your entire tech stack based on your needs.

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For any internally developed software (apps, websites, backend), integrate Privado.ai with your source code management solution to scan your entire codebase to extract all personal data processing details: collection, usage, sharing, and storage.

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For websites and mobile apps, build data maps via our Web Auditor and App Auditor solutions. Neither require any integration. For websites, simply provide the URLs to be scanned. For mobile apps, simply upload the app store file.

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For third-party apps processing personal data such as customer data platform, tag manager, CRM, HR, marketing, and procurement solutions, Privado AI builds data maps via API integrations.

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For any data processing activity requiring a privacy assessment, Privado AI’s agents can scan any documentation describing the data processing to populate entire assessments and build data maps.

Does Privado AI train models on customer data or code?

No. Privado AI never uses customer data or code for training AI/ML models. Customer data or code is also never stored or shared with third parties.

How does Privado AI audit websites and app for privacy risk?

Privado AI runs live user simulations for each consent action (accept, reject, no action), records personal data elements shared to third parties, and verifies compliance with all applicable privacy regulation in any location.

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For websites, simply provide the URLs to be scanned. For mobile apps, simply upload the app store file.

Can Privado AI audit websites and apps using any consent management platform?

Yes. Privado AI can audit any website or mobile app and identify misconfigurations for any consent management platform.

How does Privado AI scan code to identify privacy risk and build data maps?

For any internally developed software (apps, websites, backend), Privado AI can scan the underlying code to build complete data maps and identify privacy risks according to your policies such as overcollection or sensitive data sharing to third parties.

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Privado AI can identify risks before they go live by scanning code during software development or identify live risks by scanning code in production.

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To implement privacy code scanning, Privado AI integrates with your source code management solution to extract all personal data processing details: collection, usage, sharing, and storage.

Does Privado AI integrate with OneTrust?

Yes, Privado AI integrates with OneTrust, enabling the data maps / data inventory, assessments, and risks in OneTrust to be automatically updated with accurate, real-time information from the Privado AI platform.

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