New Delhi, April 27 -- India's digital economy is entering a phase in which trust will define its next wave of growth. While progress in cybersecurity has been significant, other trust domains-such as data privacy, particularly in the context of AI-are now coming to the fore. The timelines set by India's Digital Personal Data Protection Act (DPDPA) are helping to accelerate this shift.
India's starting point is unique. Enterprises are advancing their data privacy journeys at a time when digital adoption, AI deployment and data generation are all scaling simultaneously. The country's vast digital infrastructure and population create both complexity and opportunity. Unlike more mature markets that evolved incrementally, Indian enterprises are being required to build for scale, intelligence and regulatory evolution from the outset.
This compressed journey presents real challenges. The volume of personal data is expanding rapidly, and its nature is also evolving. Most companies are required to rewire their data practices to restrict usage to consented purposes, while introducing greater transparency and accountability. In parallel, AI is seeing rapid adoption, challenging how data privacy is addressed-all while a significant talent gap hampers progress.
However, these challenges are not insurmountable. In fact, they offer Indian organisations an opportunity to leapfrog traditional maturity curves and embed privacy at the core of their digital strategies.
A leading Indian life insurer provides a useful example of how organisations can navigate this transition. It began with a focused pilot across select functions, helping to uncover operational complexities and align stakeholders around a common privacy framework. Building on this foundation, the organisation scaled the programme enterprise-wide and invested early in automation through a dedicated privacy platform, enabling more effective operationalisation and faster readiness for evolving regulations.
This example underscores a broader point: building effective privacy capabilities requires a combination of strategic clarity, operational discipline and early investment in the right enablers.
Reframing privacy as a strategic capability
A critical shift is moving from viewing privacy as a compliance exercise to treating it as a business capability. Leading enterprises are embedding privacy into product and process design, data architectures and decision-making-often referred to as "privacy by design". This reduces retrofitting costs and enables scalability as systems evolve.
Equally important is aligning privacy with broader trust objectives. Privacy does not operate in isolation; it intersects with security, responsible AI, ethics and regulatory compliance. Taking an integrated view helps organisations build cohesive trust frameworks rather than fragmented controls.
Leveraging technology for privacy
Traditional approaches to privacy are often insufficient in dynamic, AI-driven environments. Organisations need to invest in modern controls and capabilities that provide real-time visibility into data flows, usage, compliance and risk.
This includes moving beyond manual, spreadsheet-driven mechanisms to automated, technology-enabled solutions. Data inventories, consent, usage, audit trails and incident detection need to be managed as continuous, embedded processes rather than periodic exercises. Such capabilities not only ensure compliance but also enable organisations to innovate with confidence.
Strengthening ecosystem governance
Given the scale of third-party ecosystems, managing privacy risk requires extending controls beyond organisational boundaries. Forward-looking companies are reimagining third-party risk management to include ongoing oversight, clearer accountability and deeper visibility into how data is handled by ecosystem partners. Traditional static control mechanisms, such as contracts and audits, alone are unlikely to scale.
Building talent and leadership alignment
Addressing the talent gap is equally critical. Organisations need interdisciplinary expertise that combines legal, technical and risk perspectives, particularly in the context of AI. At the same time, leadership teams must develop a clearer understanding of privacy as a strategic priority.
Targeted investments in capability building-through training, specialised roles and cross-functional teams-can accelerate this transition. Organisations that build internal expertise early will be better positioned to navigate future complexity.
Adopting a predictive, future-ready approach
With regulatory frameworks continuing to evolve, a purely reactive approach is no longer sufficient. Organisations must anticipate change by tracking global developments, interpreting emerging trends and designing adaptable systems.
This predictive mindset enables resilience. It allows organisations to respond to new requirements without significant disruption, while also strengthening stakeholder trust.
The opportunity ahead
The imperative now is clear: operationalise privacy at scale. The path forward will require organisations to move decisively from intent to execution-embedding privacy into core business and technology decisions, investing in scalable capabilities and institutionalising cross-functional ownership. While the starting point may be complex, it also enables organisations to build modern, future-ready capabilities from the ground up.
In this context, data privacy is no longer just a safeguard; it is a foundation for innovation, resilience and sustained growth.
(The author is Shivangi Nadkarni, Senior Corporate Vice President - Digital Trust, Persistent Systems)
Published by HT Digital Content Services with permission from TechCircle.