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Privado AI
Eliminate manual compliance work and reduce privacy risk with AI agents that automate assessments, build real-time data maps, and audit websites for violations.
About Privado AI
Privado AI is a privacy management platform designed to automate manual compliance tasks and provide complete visibility into personal data processing. It helps organizations transition to evidence-based privacy by using AI agents to scan technical documentation and source code. The tool is built for privacy teams and engineers who need to manage risks across web, mobile, and backend systems without slowing down the software development lifecycle. By replacing manual questionnaires with automated discovery, the platform ensures that privacy records reflect the actual technical state of an organization's applications. The platform operates through several specialized modules. Agentic Assessments use AI to analyze project requirement documents, Jira tickets, and technical specifications to auto-populate PIAs, DPIAs, and RoPAs. Dynamic Data Maps provide a real-time inventory of data elements and flows by scanning codebase repositories in GitHub, GitLab, or Bitbucket. Additionally, the Web and App Auditor modules run live user simulations to verify consent banner compliance and identify non-compliant trackers or SDKs. These tools work together to identify risks such as overcollection or sensitive data sharing before code is deployed to production. Privado AI is most effective for privacy engineers, compliance officers, and legal teams in highly regulated industries. It fits into the DevSecOps workflow, providing developers with real-time privacy guidance directly within their existing tools. What makes it unique is its "code-first" approach; instead of relying on subjective employee surveys, it extracts data processing details directly from the logic of the software. This provides a more accurate and defensible audit trail for regulations like GDPR, CCPA, and CPRA. The platform is designed to scale with the business, offering deep integrations with legacy GRC tools like OneTrust. This allows organizations to maintain their current reporting ecosystem while upgrading to automated discovery and continuous monitoring. With SOC 2 certification and a policy of never training AI models on customer code, Privado AI offers an enterprise-grade solution for modern data governance that bridges the gap between legal requirements and engineering reality.
Privado AI pros & cons
Pros
- Web and App Auditors require no technical implementation or code integration.
- Automates 100% of privacy assessments using AI agents and existing documentation.
- Provides real-time data visibility by scanning code before it goes live.
- Includes 40+ pre-built compliance checks for GDPR, CCPA, and other global laws.
- Dedicated customer success manager and strategic consultations included for all customers.
Cons
- Platform implementation typically requires 1-3 weeks of technical support.
- iOS and Android versions of the same mobile application are billed as two separate apps.
- Standard pricing plans require annual billing commitments.
Privado AI use cases
- Privacy Engineers can catch data overcollection risks during the development process by scanning code before it is merged.
- Compliance Officers can automate the generation of RoPAs and DPIAs by allowing AI agents to analyze Jira tickets and PRDs.
- Marketing Teams can verify that website trackers and cookies honor user consent across different global jurisdictions automatically.
- Legal Teams can maintain an evergreen data inventory that syncs directly with OneTrust without manual surveys.
- Security Teams can detect and prevent sensitive data leaks to third-party SDKs in mobile applications.
Privado AI features
- privacy code scanning
- dynamic data mapping
- ropa automation
- sensitive data leak detection
- consent management auditing
- mobile app auditor
- web privacy auditor
- agentic privacy assessments
Privado AI pricing
Is Privado AI free? No, Privado AI doesn't offer a free plan; pricing starts at $250 / website/month billed annually.
Web Auditor
$250 / website/month billed annually
- 3rd party tracker and cookie detection
- Data flow maps based on consent
- Consent banner visibility checks
- 40+ pre-built compliance checks
- Sensitive data leak detection
- Jira ticketing integration
- OneTrust integration
App Auditor
$1,000 / app/month billed annually
- iOS and Android risk monitoring
- 3rd party tracker and SDK detection
- Sensitive permission detection
- Consent banner visibility checks
- 40+ pre-built compliance checks
- Sensitive data leak detection
- Jira ticketing integration
Platform
$4,200 / month billed annually
- Up to 200 developers included
- Org-wide dynamic data maps
- Autopopulated RoPAs, PIAs, & DPIAs
- Risk detection in development process
- Real-time privacy guidance for devs
- Source code management integration
- Custom compliance checks
Enterprise
Price varies
- Supports 200+ developers
- Full Web Auditor features
- Full App Auditor features
- Full Platform features
- Dedicated customer success manager
- Strategic consultations
Privado AI FAQs
How does Privado AI use AI agents to automate assessments?
Agents scan documentation like PRDs, Jira tickets, and technical specs to auto-populate PIAs, DPIAs, and RoPAs. This eliminates the need for manual data entry and ensures assessments are based on actual product documentation.
Does Privado AI train its models on customer data or code?
No, Privado AI never uses customer data or code to train its AI/ML models. Additionally, customer code is never stored or shared with third parties, maintaining strict data security.
How does the platform build dynamic data maps?
The platform builds maps by scanning your codebase through integrations with GitHub, GitLab, or Bitbucket. For websites and apps, it uses live simulations and API integrations to identify data elements and flows.
Does it integrate with OneTrust?
Yes, Privado AI integrates with OneTrust to automatically update data inventories, assessments, and risks with real-time information. This ensures your OneTrust records remain accurate without manual updates.
How are developers counted for Platform pricing?
Pricing is based on the number of developers with active accounts in your source code management tools. You can limit this count to only the developers involved with the specific repositories Privado is scanning.
Ratings & reviews
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