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06/09/2026 3:45 pm
TL;DR: India’s DPDP Act turns privacy into an enforceable operating requirement, with Data Fiduciaries expected to prove how personal data is collected, shared, retained, and secured across live systems, according to LEVO. Static policies and periodic audits are no longer enough when breach exposure, third-party flows, and AI-driven processing can all create liability.
NHIMG editorial — based on content published by LEVO: India's DPDP Act and runtime data governance
By the numbers:
- The average cost of a data breach in India reached INR 220 million in 2025.
- The Data Protection Board can impose penalties of up to INR 250 crore for certain non-compliance.
Questions worth separating out
Q: How should security teams govern personal data across APIs and cloud services under DPDP?
A: Treat personal data governance as a runtime control problem.
Q: Why does the DPDP Act increase the importance of identity and access controls?
A: Because DPDP makes organisations accountable for how personal data is accessed in real systems, not just how it is described in policy.
Q: What breaks when processor access is not reviewed under DPDP?
A: Processor access drift breaks accountability.
Practitioner guidance
- Map personal data to live processing paths Track where digital personal data moves across applications, APIs, SaaS tools, analytics platforms, and AI workflows so you can evidence processing scope at runtime.
- Tighten third-party access governance Review processor accounts, service credentials, and delegated permissions to ensure every vendor access path is time-bounded, monitored, and revoked on offboarding.
- Align rights fulfilment to audit evidence Link access logs, retention controls, and data lineage records so correction, erasure, nomination, and breach notification workflows can be reconstructed for regulators.
What's in the full article
LEVO's full article covers the operational detail this post intentionally leaves for the source:
- The article breaks down DPDP obligations by role, including Data Fiduciary, Significant Data Fiduciary, and Data Processor responsibilities.
- It details how penalties, breach notification, and Data Principal rights change the operational burden on compliance and security teams.
- It explains where runtime visibility, API monitoring, and sensitive data discovery fit into the compliance model.
- It includes a DPDP versus GDPR comparison that helps teams separate Indian obligations from EU privacy requirements.
👉 Read LEVO's analysis of India's DPDP Act and runtime privacy governance →
DPDP enforcement: what IAM and data teams need to prove now?
Explore further
06/09/2026 3:45 pm
DPDP turns runtime data governance into a control requirement, not a policy exercise. The law is only partly about consent and notice. Its real enforcement value comes from whether an organisation can show what happened to personal data across live systems, processors, and APIs. That is why static compliance artefacts fail under scrutiny, while operational evidence becomes the deciding factor. For identity teams, this means access governance must be tied to actual data movement and not just to role design.
A question worth separating out:
Q: What should organisations do when a personal data breach may have affected Indian residents?
A: They should preserve logs, identify affected systems and identities, confirm the scope of exposed personal data, and prepare notifications to the Data Protection Board and affected individuals. The key is to move fast with evidence, because DPDP enforcement will depend on whether the organisation can reconstruct what happened and show reasonable safeguards were in place.
👉 Read our full editorial: India's DPDP Act makes runtime data governance an audit issue
