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Understanding Privado

Privado makes AI privacy automation software for privacy teams. It scans code, websites, mobile apps and third-party systems to build a live picture of where personal data goes, then uses AI agents to complete the assessments and records that regulations such as GDPR and CCPA require.

The aim is to replace questionnaire-driven compliance work with continuous visibility, so privacy teams are working from what systems actually do rather than what someone remembered to report.

At A Glance

VendorPrivado
CategoryPrivacy automation and data mapping
DeploymentSaaS on Amazon Web Services; open-source CLI runs locally
Agentic AIWren AI privacy agent, assessment, data map and risk agents
CustomersHP, HERE Technologies, Headspace Health
CertificationsSOC 2
Founded2020
Market classificationPrivacy & Decentralised Identity; also Application Security

What Privado Does

Privacy teams usually learn about new data flows by sending questionnaires to engineers and business owners, and the answers are out of date as soon as they arrive. Privado builds data maps from what it finds by scanning, covering more than 110 types of personal data across the tech stack, and its agents read documents to fill in the gaps. Those maps then drive privacy impact assessments (PIAs), data protection impact assessments (DPIAs), records of processing activities (RoPAs) and risk discovery. The platform also handles consent monitoring and digital tracking governance on websites and apps.

Products

Wren

Wren is an AI privacy agent that runs a privacy review from intake through to approval routing, so a small privacy team can keep up with product change. It picks up requests from internal tools such as Jira, contract lifecycle management and procurement systems, selects the assessment type based on the customer’s policies, generates the assessment from imported documentation, interview transcripts and contracts, and tracks risks with remediation plans linked to evidence. The privacy team keeps the final say on every approval.

Agentic Assessments

Agentic Assessments populates entire PIAs, DPIAs and RoPAs by having agents analyse imported documents. It suits teams that face a large backlog of assessments and want a first draft based on real evidence rather than a blank template.

Dynamic Data Maps

Data maps stay current as data flows change. The module provides:

  • A data inventory that tags sensitive health, financial and location data
  • Third-party discovery with real-time alerts when a new third party or data element appears
  • Data flow mapping across websites, apps, databases, third parties and cross-border transfers
  • RoPA automation from scanning and documentation
  • Data Map Agents that fill blind spots in the automated maps, and Risk Agents that simulate user journeys to uncover more risk

Web Auditor And App Auditor

These modules are for teams that must prove consent and tracking rules hold on live properties. Web Auditor continuously scans websites to verify consent banners, cookies, pixels and data flows across locations. App Auditor checks iOS and Android app files after each update for consent banners, SDKs and data flows.

Open-Source Code Scanning

Privado’s open-source privacy code scanner is aimed at developers. It maps personal data from collection points to third parties, APIs, SDKs and logs, and finds common CWE and OWASP data security vulnerabilities such as data leaks to logs and insecure storage. The CLI runs locally, so no code leaves the developer’s machine.

How It Works

The service runs on Amazon Web Services rather than physical servers of Privado’s own, and combines scanning with agent analysis.

ComponentWhat it does
Code scanningScans the code of first-party apps, websites and back-end software.
Third-party scanningScans CRM, HR, contract lifecycle management, marketing and procurement systems, customer data platforms and tag managers.
Web and app auditingScans live websites and iOS and Android app files.
AI agentsRead contracts, policies, documentation and data inventories to complete assessments and data maps.
Security controlsA virtual private cloud with no public IP addresses, TLS in transit, database encryption at rest and continuous control monitoring through Drata. Customer data and code are never used to train AI or machine learning models.

Integrations

AreaIntegrations
Privacy platformsOneTrust, TrustArc
Customer dataSegment
Work managementJira, Confluence, Linear

Company Background

HeadquartersDover, United States.
LeadershipVaibhav Antil (co-founder and CEO), Jasdeep Singh (co-founder and CRO) and Prashant Mahajan (co-founder and CTO).
Funding$14 million Series A co-led by Insight Partners and Sequoia Capital India, with Together Fund and Emergent Ventures; Titan Capital is also a backer.

Note: This overview is compiled from Privado’s publicly available information as of 3 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.

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