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DPDP Compliance Services

Turn India’s Data Protection Requirements Into an Engineering-Ready Framework

The Digital Personal Data Protection Act is changing how businesses collect, process, store, share, and manage personal data.

InnovationM helps enterprises translate DPDP requirements into practical changes across their applications, data architecture, consent workflows, security controls, governance processes, and data lifecycle management.

From assessing your current data environment to implementing consent management, privacy controls, security measures, and data subject rights workflows, we help build a DPDP-ready digital ecosystem that works within your existing technology landscape.

Build privacy into your technology. Build trust into your business.

DPDP Compliance Is More Than Updating a Privacy Policy

We help you move from:

Data uncertainty Data visibility
Manual processes Automated privacy workflows
Fragmented controls Centralized governance
Compliance documentation Operational compliance
Reactive fixes Privacy by design

Our DPDP Services

We help organizations build the technology, processes and workflows needed to operationalize DPDP compliance — from initial readiness assessment through consent and data principal rights management.

DPDP Readiness Assessment
Trusted by World Health Organization, FASTag, EY, Airtel, IndiGo, Volkswagen, Samsung, British Council, OYO, Hindustan Times, and PVR

Turn challenges into business opportunities

Talk to Our Experts
Data Retention & Deletion

Data Retention & Deletion

Personal data should not remain in your systems indefinitely simply because there is no automated mechanism to remove it.

InnovationM helps organizations design data lifecycle controls that connect collection, usage, retention, archival, and deletion across relevant systems.

Our approach includes:

  • Data retention policy implementation
  • Retention rule configuration
  • Automated deletion workflows
  • Database and application-level deletion
  • Backup and archival considerations
  • Data lifecycle monitoring
  • Exception handling
  • Deletion audit trails
→

Privacy by Design

Build privacy considerations into products before they become expensive to fix.

Our engineering teams can work with product, security, legal, and compliance stakeholders to introduce privacy controls during the design and development lifecycle.

Privacy-by-design considerations can include:

  • Data minimization
  • Purpose limitation
  • Access control
  • Consent architecture
  • Secure data handling
  • Data masking and anonymization
  • Retention controls
  • Auditability
  • Privacy-focused API design
  • Secure third-party integrations
→

DPDP Security & Data Protection Engineering

Compliance depends on the ability to protect personal data throughout its lifecycle.

InnovationM brings software engineering, cloud, security, and data engineering capabilities together to strengthen the technical controls surrounding personal data.

Areas we can support include:

  • Role-based access control
  • Identity and access management
  • Data encryption
  • Data masking
  • Pseudonymization
  • Secure API architecture
  • Logging and monitoring
  • Audit trails
  • Vulnerability remediation
  • Cloud security controls
  • Database security
  • Secure data transfer
  • Data loss prevention mechanisms
→
DPDP Compliance for AI & Data Platforms

DPDP Compliance for AI & Data Platforms

AI introduces another layer of complexity to personal data management.

Personal data may enter AI applications through customer interactions, documents, support tickets, CRM records, analytics platforms, or internal knowledge systems.

InnovationM helps organizations assess how personal data moves through AI applications, GenAI solution development, data platforms, APIs, and machine learning workflows.

We can help address:

  • Personal data discovery within AI workflows
  • Data ingestion controls
  • Access and authorization
  • Data masking and anonymization
  • AI application data flows
  • Third-party AI service assessment
  • Prompt and input data handling
  • Data retention controls
  • Logging and auditability
  • Privacy considerations for AI-enabled products
→
Third-Party & Data Processor Assessment

Third-Party & Data Processor Assessment

Your data ecosystem rarely ends with your own applications.

CRM platforms, payment providers, analytics tools, cloud services, SaaS applications, marketing platforms, AI services, and other technology partners may process personal data as part of your business operations.

We help organizations understand and assess these data flows and identify where additional controls, contractual requirements, technical safeguards, or process changes may be required.

We can support:

  • Third-party data flow mapping
  • Data processor inventory
  • API and integration assessment
  • Vendor technology assessment
  • Data-sharing analysis
  • Access control review
  • Security control assessment
  • Processor monitoring workflows
→

A Practical DPDP Implementation Approach

Compliance should be treated as an ongoing capability—not a one-time project.

1

Discover

Understand your business processes, applications, data sources, users, third parties, and existing privacy controls.

2

Map

Create visibility into how personal data moves through your technology ecosystem.

3

Assess

Identify gaps across consent, rights management, security, retention, governance, and technology controls.

4

Prioritize

Create a remediation roadmap based on business impact, technical complexity, risk, and implementation dependencies.

5

Implement

Build and integrate the required technology and operational controls into your existing systems.

6

Validate

Test workflows, access controls, consent mechanisms, deletion processes, audit trails, and integrations.

7

Monitor

Establish ongoing monitoring and improvement mechanisms as your applications, data, vendors, and regulatory requirements evolve.

1

Discover

Understand your business processes, applications, data sources, users, third parties, and existing privacy controls.

2

Map

Create visibility into how personal data moves through your technology ecosystem.

3

Assess

Identify gaps across consent, rights management, security, retention, governance, and technology controls.

4

Prioritize

Create a remediation roadmap based on business impact, technical complexity, risk, and implementation dependencies.

5

Implement

Build and integrate the required technology and operational controls into your existing systems.

6

Validate

Test workflows, access controls, consent mechanisms, deletion processes, audit trails, and integrations.

7

Monitor

Establish ongoing monitoring and improvement mechanisms as your applications, data, vendors, and regulatory requirements evolve.

Who We Help

Our DPDP services are designed for organizations that collect or process digital personal data across their products, platforms, and business operations.

Industries

Healthcare & Life Sciences Banking & Financial Services Insurance Retail & E-commerce SaaS & Technology Education Logistics & Transportation Media & Entertainment Travel & Hospitality Professional Services

Organizations

  • Enterprises modernizing legacy systems
  • SaaS companies processing user information
  • Businesses integrating multiple third-party platforms
  • Companies preparing existing applications for DPDP requirements
  • Digital businesses handling large customer datasets
  • Organizations building AI-enabled products
  • Organizations establishing privacy engineering capabilities

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DPDP Compliance for Existing Applications

Legacy applications often create the biggest compliance challenges. We help organizations assess and modernize existing applications where personal data is distributed across older databases, business systems, APIs, mobile applications, and third-party integrations.

Application assessment

Identify where personal data is collected and processed.

Architecture assessment

Review data flows, integrations, databases, and access patterns.

Control implementation

Introduce consent, access, retention, deletion, logging, and security controls.

Application modernization

Refactor legacy components where the existing architecture makes compliance difficult.

Integration

Connect privacy workflows with CRM, ERP, IAM, data platforms, and other enterprise systems.

Why InnovationM

  • Technology-first approach — translate privacy requirements into practical technology controls
  • Enterprise architecture understanding — work across applications, APIs, cloud, data platforms, and legacy systems
  • AI-ready thinking — address privacy considerations across modern AI and GenAI environments
  • Integration-led implementation — work with your existing systems instead of creating isolated compliance infrastructure
  • Outcome-focused delivery — move from identifying gaps to implementing and validating solutions

Questions, answered

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the future.
We build what
comes next.

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