product

The privacy platform that starts with your actual data.

PrivaGuard turns privacy compliance from a legal headache into an automated process: discover personal data, map how it flows, and generate the documentation, consent records and DSAR responses that regulations require.

How PrivaGuard works

  1. 01

    Connect

    Read-only connectors to databases, storage, SaaS and APIs

  2. 02

    Classify

    PII, sensitive and special-category data detected per field

  3. 03

    Map

    Flows, transfers and processing activities assembled into a map

  4. 04

    Document & act

    Article 30 records, reports, consent and DSAR workflows

Discovery re-runs continuously; the map and records update when systems change.

Personal data discovery & classification

PrivaGuard connects to databases, cloud storage, SaaS applications and APIs through secure, read-only integrations. It scans fields, documents and unstructured content to classify PII, sensitive data, special categories under GDPR Article 9 and financial identifiers. Discovery runs continuously, so new sources and schema changes are detected automatically.

why it mattersEvery other privacy obligation depends on knowing what you hold. A continuously updated inventory replaces the annual spreadsheet exercise.

use cases
  • →Map customer PII across production databases, analytics tools and integrations before an audit
  • →Find health data in legacy systems, email archives and file shares
  • →Classify sensitive data across CRM and finance systems

Data flow mapping & processing records

Visual maps show how personal data moves from collection through processing, storage, sharing with third parties and deletion. The maps feed your Article 30 Records of Processing Activities, which update when flows change.

why it mattersRecords of processing stay accurate without weeks of interviews, and cross-border transfers become visible.

use cases
  • →Answer supervisory authority requests for Article 30 records
  • →Spot cross-border transfers lacking an adequate legal basis
  • →Review the privacy impact of a new feature before it ships

Multi-regulation compliance engine

Your processing activities are mapped against the requirements of the regulations that apply to you — including GDPR, CCPA/CPRA, LGPD and PIPA. Gaps are identified with remediation recommendations, and audit-ready reports are produced per regulation.

why it mattersOne inventory serves several jurisdictions, and you see gaps before an auditor or regulator does.

use cases
  • →Track GDPR, CCPA/CPRA, LGPD and PIPA posture from one dashboard
  • →Produce board-level compliance summaries
  • →Pull evidence packages for a specific regulation on demand

DSAR automation

Requests arriving by email, web form or API are verified, the subject's data is located across connected systems, a response package is compiled and routed for review, and deadlines are tracked. Every step is logged.

why it mattersAccess and deletion requests stop being a cross-team scramble, and response deadlines stop slipping.

use cases
  • →Handle a steady volume of consumer requests without extra headcount
  • →Fulfill employee requests across HR and payroll systems
  • →Process end-user requests on behalf of B2B customers

Vendor & third-party risk

Maintain a living inventory of processors and sub-processors, track DPA status and expiration, score vendor risk from their data handling practices and get alerts when a profile changes.

why it mattersYour obligations extend to every processor; this keeps that list and its contracts current.

use cases
  • →Assess vendor privacy risk before signing
  • →Keep a sub-processor inventory with change notifications
  • →Prioritize remediation by vendor risk and data sensitivity

The data map, from a sample workspace

data-map / acme-prodlast scan 06:40 UTC · 7 systems · 7 flowsSample data
  • Web signupcollection · EU
    emailnameIP
  • Mobile SDKcollection · EU/US
    device IDlocation
  • Postgres · usersstorage · eu-central-1
    emailDOBphone
  • Stripeprocessor · payments
    card last4billing addr
  • Segmentprocessor · analytics
    device IDevents
  • Snowflakewarehouse · us-east-1
    emaillocation
  • Zendesksupport · tickets
    namehealth
Health data (GDPR Art. 9) found in Zendesk ticket bodies
Segment → Snowflake: EU→US transfer with no mechanism recorded
Article 30 record drafted · 12 processing activities
integrations

Connects to where personal data actually lives.

Read-only connectors for cloud infrastructure, databases, warehouses and business applications, plus existing privacy tools.

  • AWS Cloud
  • Google Cloud Cloud
  • Microsoft Azure Cloud
  • PostgreSQL Database
  • MongoDB Database
  • Snowflake Warehouse
  • BigQuery Warehouse
  • Salesforce CRM
  • HubSpot CRM
  • Stripe Payments
  • Workday HR
  • Zendesk Support
  • Segment Analytics
  • OneTrust Privacy
  • Cookiebot Consent

Who it's for

Data protection officers

A real-time view of privacy posture, Article 30 records and DSARs without manual collection.

SaaS companies

Demonstrate GDPR and CCPA compliance to enterprise customers and handle end-user DSARs at scale.

Enterprise privacy teams

Multiple business units, jurisdictions and hundreds of sources managed in one place.

Regulated industries

Sector requirements in healthcare, finance and insurance mapped alongside general privacy law.