Managing data risk across complex regulatory environments
Stay Ahead With Our Intelligence Infrastructure
We ensure your enterprise is future-ready in a digital-first world, backed by seamless, secure, and adaptive tech foundations.
India’s Digital Personal Data Protection Act (DPDP) introduces a new standard for how enterprises manage personal data. We help organisations translate regulatory requirements into enforceable legal, technical, and operational frameworks — ensuring continuous, audit-ready data protection across systems and workflows.
The Digital Personal Data Protection Act, 2023 (DPDP Act) has fundamentally changed how enterprises in India must collect, process, store, and govern personal data.
At Ninth Dimension IT Solutions, we deliver end-to-end DPDP consulting services by combining legal expertise, technical execution, and continuous compliance platforms to help enterprises achieve defensible, auditable, and sustainable compliance.
In collaboration with Curated LegalTech, a Ninth Dimension Group company, we bring together legal services, consent management solutions, and data protection platforms — ensuring compliance is not only documented but actively enforced across enterprise systems.
Services
We take a comprehensive approach to DPDP compliance, bringing together legal expertise, technology implementation, and data security — enhanced by advanced AI capabilities.
In partnership with Curated LegalTech, we deliver services that span consent management, PII discovery, secure data sharing, and legal advisory, enabling organisations to operationalise compliance across systems and workflows.
We provide an AI-powered DPDP legal gap assessment and risk analysis solution, supported by expert legal review. Post-assessment, we help organisations close gaps and strengthen their alignment with DPDP requirements.
Through this approach, we help enterprises achieve legally defensible compliance, ready for regulators, investors, and audits.
We deliver an enterprise-scale consent management platform that supports customers, employees, and third-party stakeholders. Our approach treats consent management as a living, continuously updated system and not a static policy.
We enable agentic AI-driven discovery and mapping of personal data across enterprise environments. This allows us to create a single, authoritative view of enterprise data usage — a core DPDP requirement.
We provide a secure framework for working with sensitive data without exposing it.
We translate legal requirements into enforceable systems, ensuring compliance is embedded into systems and workflows rather than managed manually.
SERVICES
We take a comprehensive approach to DPDP compliance, bringing together legal expertise, technology implementation, and data security — enhanced by advanced AI capabilities.
In partnership with Curated LegalTech, we deliver services that span consent management, PII discovery, secure data sharing, and legal advisory, enabling organisations to operationalise compliance across systems and workflows.
We provide an AI-powered DPDP legal gap assessment and risk analysis solution, supported by expert legal review. Post-assessment, we help organisations close gaps and strengthen their alignment with DPDP requirements.
Through this approach, we help enterprises achieve legally defensible compliance, ready for regulators, investors, and audits.
We deliver an enterprise-scale consent management platform that supports customers, employees, and third-party stakeholders. Our approach treats consent management as a living, continuously updated system and not a static policy.
We enable agentic AI-driven discovery and mapping of personal data across enterprise environments. This allows us to create a single, authoritative view of enterprise data usage — a core DPDP requirement.
We provide a secure framework for working with sensitive data without exposing it.
We translate legal requirements into enforceable systems, ensuring compliance is embedded into systems and workflows rather than managed manually.
USPs

We bring together legal expertise and technical execution in a unified model by ensuring compliance is not only defined but consistently enforced across systems and workflows.

We combine the speed of Agentic AI with the assurance of expert legal validation. This allows us to accelerate analysis while maintaining accuracy and regulatory confidence.

We take ownership of the entire compliance lifecycle — from initial assessment and remediation to consent management, data discovery, and continuous monitoring — providing a single, accountable partner.

We design solutions to meet audit requirements, regulatory scrutiny, and board-level governance expectations by ensuring organisations are always prepared for oversight and review.
We believe DPDP compliance is not a one-time exercise; it is an ongoing governance capability. At Ninth Dimension, enterprises move from compliance uncertainty to operational confidence through solutions that are legally sound, technically enforced, and continuously monitored.
Industries We Serve
DPDP compliance is critical across industries managing sensitive and high-volume personal data. We support enterprises across sectors, where each engagement is tailored to industry-specific data flows, risks, and regulatory expectations.

BFSI
Managing data risk across complex regulatory environments

Retail and E-commerce
Securing customer data across digital channels and platforms

FinTech
Protection of financial, identity, and transactional data

IT and ITeS
Governance across cloud platforms, services, and SaaS ecosystems

Defence
Securing mission-critical data in controlled environments

Healthcare
Visibility and control across sensitive personal and health data

Manufacturing
Protection of operational, supplier, and intellectual property data

FinTech
Governance of financial, identity, and transactional data

IT and ITeS
Compliance across platforms, services, and SaaS ecosystems

Defence
Controlled environments for mission-critical data

Healthcare
Governance of sensitive personal and health data

Manufacturing
Protection of customer, vendor, and operational data