AI Governance · Responsible AI · DPDP Compliance · Privacy Engineering

Building Defensible
Data Ecosystems

We identify where your data collection, consent, and internal workflows create regulatory exposure under DPDP — and give you a clear roadmap to fix it.

8
Band A Checks per Scan
25
Total DPDP Checks Mapped
₹250 Cr
Maximum Penalty Exposure
Collect Consent Process Store Share ACCRULABS

DPDP is not a policy problem.
It is a system problem.

India's DPDP Act, 2023 and DPDP Rules, 2025 shift compliance from documentation to accountability of how your systems actually collect, process and act on personal data.

Most systems are built for
  • Growth
  • Speed
  • Integrations
Not designed for
  • Data accountability
  • Consent traceability
  • Data lifecycle control
This is where most businesses are already non-compliant — without even realising it. This is where regulatory exposure accumulates, often before it is visible to compliance or legal teams.

Where Enterprise Data
Ecosystems Fail Under DPDP

01

Policy–System Disconnect

Privacy Policy is Generic
  • Copy-paste templates reused across businesses
  • No linkage to actual data collection, usage, or systems
  • Privacy documentation that predates current data architecture

"Your policy says one thing. Your system does something else."

02

Consent Without Control

Consent is Treated as a UI Layer
  • No mapping between consent and purpose
  • No audit trail of what was agreed and when
  • No layered privacy notices

"Consent is being taken, but it cannot be proven or defended."

03

Invisible Data Persistence

Data Erasure is Incomplete
  • Data deleted from database only
  • Still exists in backups, logs, third-party tools, and AI systems
  • Data reused in analytics or AI without explicit consent ("shadow data")

"This is where compliance breaks — and liability starts."

You are not dealing with a policy.
You are dealing with a full data lifecycle.

DPDP governs how personal data moves across your entire system — not just what is written in documents.

Consent is not a one-time checkbox. It is a state that must be continuously managed.
If one layer breaks, the entire compliance structure fails.
01
Data Collection
What data is taken and why
02
Privacy Notices
Layered, purpose-specific disclosures
03
Consent
Valid, trackable, and revocable
04
Internal Data Flows
How data moves across systems
05
Third-party Sharing
Through tools and integrations
06
Data Retention
How long data is stored and why
07
Data Erasure
Actual deletion across all systems
08
Data Principal Rights
Access, correction, erasure

Three Products.
One Compliance Ecosystem.

Sutra
Privacy Architecture

System-level privacy architecture design. Map your data flows, align consent architecture, and build traceability across your entire technology stack.

  • Data flow mapping
  • Consent architecture design
  • Lifecycle control framework
Coming Soon
Sanyam
Ongoing Compliance

Continuous compliance monitoring and retainer. Stay current as DPDP Rules evolve, with quarterly reviews, incident response, and regulatory update tracking.

  • Quarterly compliance reviews
  • Regulatory update monitoring
  • Incident response support
Coming Soon

We Don't Fix Documents.
We Fix How Your System Behaves.

We don't draft policies.

We fix
the system.

We analyse your business the way your data actually behaves — not the way it is documented. We work alongside your engineering, legal, and compliance teams to close the gap between documented intent and operational reality.

  • Identify where your current systems will fail under DPDP
  • Map how personal data actually flows across your business
  • Align consent, privacy notices, and real data usage
  • Design lifecycle controls from collection to actual erasure
  • Build traceability between consent, data usage, and storage
  • Expose hidden risks across tools, integrations, backups, and data layers

What Becomes Defensible
After This

Data Flow Map

Clarity on where personal data exists, flows, and is used across your systems.

Risk Identification Report

Visibility into what will fail under DPDP scrutiny — with specific findings, not generic advice.

Consent & Privacy Architecture Assessment

Alignment between what users agree to and what your system actually does.

Data Lifecycle Control Framework

Defined control over data from collection to erasure — across every system, tool, and integration.

Practical Implementation Roadmap

Clear steps your team can execute without ambiguity — prioritised by risk and effort.

Not documents for compliance. Systems you can defend when questioned.

If your system is not aligned with DPDP,
the issue is not if — it is when.

Most businesses will realise this only when something breaks. The smarter ones fix it before that happens.

Try Satark Free → Schedule a System Review
📞 +91 9610131143 ✉ hello@accrulabs.ai 🔗 LinkedIn

Early-stage fixes are simple. Post-incident fixes are expensive.