Privacy is no longer a policy problem. It is an engineering one.

Privacy control plane

Policy active

Data inventory

Customer recordsClassified

Payment dataClassified

Support historyClassified

Purpose controls

Consent by purpose

Regional policy

Retention rules

Enforced everywhere

Evidence log

01Consent recorded

02Access limited

03Audit trail sealed

Proof available on demandVerified

Products: Eight on one fabric
DPDP obligations: 18 owned, no gap column
Regimes: DPDP · GDPR · CCPA · LGPD · PIPEDA
Readiness: Phased over 26 weeks

OVERVIEW

Privacy that operates as designed

Know where every trace of personal data lives. Capture consent that actually holds. Enforce it across every system and prove it on demand.

Products on one shared privacy fabric

DPDP obligations owned, with no gap column

Regimes on one control library — DPDP, GDPR, CCPA/CPRA, LGPD, PIPEDA

What breaks today

Consent sits in a banner tool. Personal data sits in forty systems

Nothing reconciles the two, so consent is unenforceable the moment it is given. Nobody can answer “where is this person's data?” without a manual hunt — which does not fit inside a statutory clock.

One catalogue

One catalogue of personal data, one consent record of truth, one policy engine, one audit trail.

Eight products, one fabric

A rights request, an audit and a breach notification all resolve against the same records rather than three reconstructions.

Regulation as configuration

Each regime is expressed as configuration over a shared control library. DPDP is a mapping, not a rebuild.

The platform

Eight products. One privacy fabric

Shared beneath every product: data catalogue, identity resolution, policy engine, AI classification and an immutable evidence trail.

Consent Management

Collect and honor consent everywhere

Sec. 5, 6, 9

Cookie Compliance

Scan, categorize, and block trackers

Sec. 6(1)

DSAR Management

Fulfill data subject requests on time

Sec. 11–14

Intelligent Data Mapper

Find and map personal data automatically

Sec. 8(3), 8(7)

Data Anonymization & Masking

Keep data usable for analytics, testing and support while the individual behind it stops being exposed.

Sec. 8(4), 8(5)

PIA / DPIA Assessment

Assess privacy & AI risk with sign-off

Sec. 10(2)

Data Breach Management

From detection to defensible intimation and closure — a structured workflow that beats the regulatory clock.

Sec. 8(6)

Audit & Evidence Management

Turn compliance into audit-ready evidence

Sec. 10(2)(b)

Privacy Program Governance

Run the whole privacy programme from one control plane, so the next regulation lands as configuration.

Sec. 4, 7, 10, 16

Worked example · Sec. 6(4)–(6)

One withdrawal, four products, a complete evidence chain

A single user action fires four products in sequence, and each hop is written to the trail.

T + 0s
Withdrawal captured
Consent Management records the withdrawal against the specific purpose and stamps it. Click-parity is enforced against the original give-flow.
Consent Management
T + 1s
Purpose revoked
The policy engine revokes the purpose and fans the event out to every processor that inherited that consent.
Privacy Program Governance
T + 2s
Stores located
Discovery returns every store holding that Principal's data; erasure executes against the list.
Intelligent Data Mapper
T + 3s
Evidence closed
Audit & Evidence Management closes the chain — withdrawal, cessation, erasure and processor acknowledgements, all timestamped.
Audit & Evidence

Without a shared fabric

The withdrawal lands in a banner tool. A ticket is raised. Someone emails four system owners. Two reply. Nobody can evidence cessation, and the erasure obligation quietly lapses.

With the fabric

Four seconds, four products, zero tickets — and an evidence chain that answers the Board’s question before it is asked.

Client value

Replace disconnected tools with one operating model

Before · point tools and tickets	With one privacy fabric
Manual inventories and spreadsheets that go stale between releases	Continuous automated scans with drift detection on every change
Static, one-size-fits-all banners that ignore purpose and region	Adaptive consent by region, purpose, channel and age band
Siloed preferences with no enforcement past the banner	Real-time orchestration with an acknowledgement from every consumer
Evidence assembled after the fact, when the auditor is already waiting	Always-on searchable audit trail and board-ready dashboards
Incident response run over email threads and a shared spreadsheet	Structured assess, notify and remediate with the clock tracked
Every new law is a new vendor, a new project and a new budget	New regime maps onto controls that already run — configuration

See the DPDP obligation matrix and rollout sequence

DPDP is not a project. It is a configuration

The question is not whether you can comply with DPDP — it is whether the thing you build for DPDP still works when the next law lands.

Book a readiness walkthrough What the Act demands