Section 10 allows the Central Government to notify a Data Fiduciary or class of Data Fiduciaries as a Significant Data Fiduciary based on factors including volume and sensitivity of data, risk of harm, sovereignty, electoral democracy, state security, public order and other relevant factors.
SDFs face additional governance obligations.
What changes?
The Act provides for:
- A Data Protection Officer based in India
- An independent Data Auditor
- Data Protection Impact Assessments
- Periodic audits
- Other prescribed measures
The final Rules add detail around these requirements, including DPIA and audit expectations and controls around certain algorithmic processing.
A DPO cannot answer an infrastructure question alone
A DPO needs access to a current data inventory, processing records, rights workflows, vendor records, breach evidence and assessment results. Without those systems, the role becomes coordination around spreadsheets.
Algorithmic processing matters
The Rules require SDFs to take measures concerning verification of specified algorithmic software used for processing personal data so that it does not pose a risk to the rights of Data Principals.
For companies using credit scoring, fraud models, recommendation engines or automated profiling, this creates an engineering question: what personal data does the system use, what does it infer, and what risk can the output create?
Build readiness in layers
Data discovery
↓
Processing inventory
↓
Rights + consent
↓
Risk assessment
↓
Security
↓
Evidence
↓
Governance
These layers are useful even if you never become an SDF.
The self-test
Can you produce a current processing inventory? Can you run a meaningful DPIA? Can an independent auditor trace a control to technical evidence? Can you identify automated systems that materially affect people? If not, adding a DPO title will not solve the underlying problem.
Where Privra fits
Privra provides the discovery and evidence layer that privacy governance needs: infrastructure findings, processing activities, vendors, rights workflows and continuous evidence.