Identity at the Core: Securing DPDP Compliance in an AI-First Enterprise

4 min read

 Practical Steps to Help Enterprises Meet Compliance in the Age of Agentic AI

The enactment of the Digital Personal Data Protection Act, 2023 and the DPDP Rules 2025 has changed what compliance means for Indian enterprises. It is no longer a matter of intent, it is a rigorous requirement for measurable, enforceable, and auditable controls. Every organisation now has to answer one central question: who has access to personal data, for what specific purpose, and under what authority.

As enterprises lean further into cloud platforms, SaaS ecosystems, and automation, the identity landscape has moved well past traditional human users. Service accounts, machine identities, and increasingly, agentic AI, all require persistent access to sensitive systems. Manual governance was never built for this scale, and it shows.

 

The core tenets of the DPDP Act

To build an effective compliance strategy, it is essential to understand the fundamental obligations the DPDP Act imposes on data fiduciaries. These principles govern the data lifecycle from collection through deletion, and together they set the standard every organisation is now expected to operate against.

While these mandates rely heavily on efficient digital identity management, legacy processes often lack the strategic controls required to manage privacy through an identity lens. Recognising that piecemeal approaches are costly and unsustainable, organisations are shifting toward strategic solutions that integrate privacy directly into the identity fabric, rather than bolting it on after the fact.

The seven tenets break down as follows:

  • Lawful, fair, and transparent processing: data must be processed lawfully, with clear, accessible notice to individuals, or "data principals," regarding the nature and intent of collection.
  • Purpose limitation: processing is restricted to the specific, stated purpose for which consent was granted, and any deviation may constitute a regulatory violation.
  • Data minimisation: organisations must collect only the data strictly necessary for the specified purpose, challenging legacy "broad-collection" practices.
  • Accuracy and integrity: fiduciaries are responsible for data completeness and must take reasonable steps to correct or erase inaccuracies.
  • Consent management: consent must be freely given, specific, informed, and unambiguous, and organisations must also provide straightforward mechanisms for its withdrawal.
  • Breach notification: in the event of a personal data breach, organisations must notify both the Data Protection Board of India and the affected individuals.
  • Accountability of data fiduciaries: the data fiduciary is responsible for implementing technical and organisational measures, including robust data protection policies and security safeguards.

Getting these seven tenets right is not a one-time checklist exercise, it is an ongoing discipline that has to be embedded into how access and identity are governed every single day. Organisations that treat this as a strategic foundation, rather than a compliance formality, are the ones best placed to build lasting digital trust.

What the AI-powered approach actually delivers

Traditional, manual compliance work is slow and error-prone. AI-driven identity security replaces this with automation of repetitive, high-risk tasks, proactive identification of risks like orphaned accounts before they escalate, consistent enforcement of least privilege and purpose limitation, remediation through automated workflows that lock down risky access, and proof in the form of audit trails that hold up to regulatory scrutiny.

A successful use case

A global e-commerce retailer had to align operations with DPDP, GDPR, and CCPA at the same time. Protiviti ran strategic assessments to identify the compliance gaps and implemented an integrated SailPoint identity solution to bring a fragmented governance landscape under one roof. The result was centralised visibility into every identity and access right across the enterprise, automated provisioning and certification replacing error-prone manual work, and Role-Based Access Control enforcing least privilege across the board. SailPoint's integration also streamlined how Data Subject Access Requests were handled, making regulatory responses faster and more accurate. What started as a compliance exercise became a genuine competitive advantage through Privacy by Design.

The road ahead runs in four phases: establishing visibility and accountability across every human and non-human identity, embedding policy-driven access controls tied to consent and role, operationalising continuous compliance through AI-driven certifications and real-time monitoring, and finally scaling governance to cover machine identities, service accounts, and agentic AI as they grow.

DPDP compliance is not a one-time exercise, it is an ongoing capability. Organisations that institutionalise it as a strategic discipline, rather than a reactive scramble, are the ones best positioned to protect customer trust and demonstrate regulatory accountability at scale.

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