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PRIVACY INTELLIGENCE

PrivacyX

Know your data. Understand your obligations. Operationalize privacy.

NEWAUTONOMOUS PRIVACY OPERATIONS · 2026

PrivacyX connects data discovery, data flows, processing activities, privacy risk, regulatory requirements and data-subject rights into one operating model for privacy intelligence.

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Source-defined capability modules

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Connected lifecycle stages

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Evidence / record families

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Data-to-obligation model

THE PROBLEM

Privacy Fails When Inventory, Legal Interpretation And Operations Live In Separate Systems.

Personal-data inventory, RoPA records, DPIA documents, and rights requests are currently handled in disconnected silos.

Before — Fragmented operating model

  • Personal-data inventory depends on questionnaires and spreadsheets rather than connected data sources.
  • RoPA and data maps become static records disconnected from applications, vendors and safeguards.
  • DPIAs are stored as documents with limited linkage to the underlying processing and controls.
  • Rights requests require manual coordination across data sources, reviewers and approvers.
  • Consent, retention, vendor processing and regulatory obligations are managed as separate workflows.

With PrivacyX

  • Data locations are discovered, classified, validated, assigned to owners and connected to systems and processes.
  • Processing records link purpose, data categories, subjects, recipients, transfers, retention, safeguards and ownership.
  • DPIA and privacy risk are connected to RoPA, data maps, safeguards and vendor information.
  • Rights requests move through intake, verification, discovery, review, fulfilment, approval and auditable response.
  • Consent, retention, vendor/transfer risk and obligations operate against the same underlying data and processing context.
PRIVACY INTELLIGENCE

Five Questions PrivacyX Is Designed To Answer.

1. Where does personal or sensitive data live?

Discover and classify data across databases, files, cloud storage, SaaS, warehouses and applications; retain location, confidence, ownership and review history.

2. Why is the data being processed—and where does it flow?

Map data to systems, business processes, purposes, recipients, vendors, geographies and risk.

2. Why is the data being processed—and where does it flow?
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3. Which processing activities require greater scrutiny?

Maintain structured RoPA records and evaluate privacy risk through DPIAs, safeguards, residual risk, approvals, exceptions and review triggers.

3. Which processing activities require greater scrutiny?
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4. Can we fulfil rights, consent and lifecycle obligations consistently?

Coordinate DSARs, consent/preference states, retention schedules, legal holds, deletion and verification with auditable workflow records.

5. How do vendors, transfers and changing obligations affect us?

Connect processors, subprocessors, data categories, locations, contracts, safeguards and transfer risk, then map regulatory obligations to applicable controls and processes.

5. How do vendors, transfers and changing obligations affect us?
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HOW IT WORKS

Nine Stages. One Connected Lifecycle.

From discovery through processing and governance to rights, retention and disposal — automated with continuous context.

01 — Data Intelligence

Find personal data where it actually lives.

Discover and classify personal and sensitive information across systems and repositories.

Scope:ScanningPattern detectionClassificationSensitivityOwner mappingConfidenceReview
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BUILT FOR

Built For The Teams That Carry The Responsibility

Six key stakeholders. Six completely connected experiences. One platform.

01

Privacy Officer / DPO

Operate discovery, records, assessments, rights, consent, retention, vendors and regulatory change as one connected operating system.

02

General Counsel / Legal

Connect obligations and privacy-risk decisions to actual processing, vendors, safeguards and auditable evidence.

03

CISO / Security Leadership

See where privacy risk depends on security controls and where incidents or exposures may affect sensitive data.

04

Data / Tech Leadership

Understand where sensitive data resides, how it moves, who owns it and which lifecycle actions are required.

05

Business Process Owners

Maintain processing purpose, data categories, recipients, approvals, retention and risk in structured workflows.

06

Audit / Assurance

Review traceable records of processing, assessments, approvals, rights cases, consent history and regulatory mappings.

EVIDENCE & OUTPUTS

Every Workflow Should Leave Behind Something Provable.

Nine provable output records automatically generated.

01

Data Inventory

Locations, classification, confidence, owner & review history.

PROVABLE RECORD
02

Data Map

Systems, processes, purposes, recipients, geographies & risk.

PROVABLE RECORD
03

RoPA Record

Processing activity, data categories, transfers & safeguards.

PROVABLE RECORD
04

DPIA / Risk Record

Risk, safeguards, residual risk, mitigation & approvals.

PROVABLE RECORD
05

Rights Case

Request, verification, data package, actions & audit trail.

PROVABLE RECORD
06

Consent Record

Purpose, version, timestamp, source & preference state.

PROVABLE RECORD
07

Retention Evidence

Retention state, expiry, legal hold, deletion & verification.

PROVABLE RECORD
08

Vendor Record

Processor context, data/geography, contract & transfer risk.

PROVABLE RECORD
09

Obligation Register

Jurisdiction, applicability, obligation & control mapping.

PROVABLE RECORD
GET STARTED

The Next Step Should Demonstrate The Operating Model

Your environment. Your data. Your privacy obligations — demonstrated live.

01

PrivacyX Demo

Trace representative data from discovery and mapping through processing, risk, rights and lifecycle decisions.

02

Privacy Assessment

Identify priority processing activities, data locations, risk workflows and evidence sources to onboard first.

03

Data Lifecycle Discussion

Review how retention, holds, deletion, consent and rights should connect to underlying systems and owners.