Privacy-Enhancing Technologies (PETs)
Use your data without over-exposing it. Digital Anumati's PETs let you mask, anonymise, pseudonymise, and tokenise personal data — so teams can analyse, test, and share data while honouring the DPDP Act's data-minimisation and purpose-limitation principles by design.
Built-In
Data Minimisation
99.99%
Uptime SLA
Reversible
& Irreversible Modes
100%
DPDP Compliant
Get Started With Digital Anumati
Why PETs Are Central to DPDP Act Compliance
The DPDP Act is built on data minimisation, purpose limitation, and reasonable security safeguards. Privacy-Enhancing Technologies let you extract value from data while holding the least identifiable form necessary — turning these principles into engineering defaults.
Without PETs, businesses face three critical risks:
Raw Data Everywhere = Over-Collection
Storing and using fully identifiable personal data when you don't need to breaches the DPDP Act's data-minimisation principle and multiplies your breach exposure.
Real Data in Test = Hidden Breach
Copying production personal data into dev, test, and analytics environments is one of the most common — and most overlooked — sources of unlawful processing and leaks.
Sharing Identifiable Data = Liability
Sharing datasets with vendors, partners, or analysts in identifiable form expands the surface for misuse and re-identification, and stretches purpose limitation past its limits.
What Digital Anumati's PETs Do
1. Data Masking
Replace sensitive values with realistic but fictitious data so teams can build, demo, and support without ever touching real personal data.
2. Anonymisation
Irreversibly strip identifiers so data falls outside the scope of personal data under the DPDP Act — ideal for analytics, reporting, and research.
3. Pseudonymisation
Swap direct identifiers for reversible tokens, keeping data usable and re-linkable under strict controls while reducing exposure if it leaks.
4. Tokenisation
Substitute sensitive fields with non-sensitive tokens, keeping the original values in a secured vault and out of your everyday systems.
5. Policy-Driven Transformation
Define rules by data category, purpose, and environment, so the right PET is applied automatically wherever personal data moves.
6. Test & Analytics Safe Data
Generate privacy-safe datasets for development, testing, and analytics — preserving structure and utility while removing real-world risk.
Key Capabilities at a Glance
A quick overview of what Digital Anumati's Privacy-Enhancing Technologies bring to your DPDP compliance stack.
| Capability | What It Delivers |
|---|---|
Data masking | Realistic fake values for dev, demo, and support |
Anonymisation | Irreversible de-identification, outside DPDP scope |
Pseudonymisation | Reversible tokens with controlled re-linking |
Tokenisation | Sensitive fields swapped for vault-backed tokens |
Policy-driven rules | Right PET applied by category, purpose, environment |
Format-preserving output | Structure and utility kept for analytics and testing |
Re-identification controls | Strict, logged access to reverse pseudonymisation |
Audit-ready exports | One-click evidence of minimisation for DPB and audits |
Up and Running in 3 Steps
Step 1 — Classify Your Data
Digital Anumati identifies and classifies personal and sensitive data across your sources, so you know exactly what needs protecting and in which contexts.
Step 2 — Apply the Right PET
Set policies by data category, purpose, and environment. Masking, anonymisation, pseudonymisation, or tokenisation is applied automatically as data is used or shared.
Step 3 — Use Data Safely
Teams analyse, test, and share privacy-safe data with confidence, while you keep an audit trail evidencing data minimisation under the DPDP Act.
Which Teams Benefit from PETs
Engineering & QA Teams
Build and test with realistic, privacy-safe datasets instead of copying production personal data into lower environments.
Data & Analytics Teams
Run analytics and train models on anonymised or pseudonymised data, unlocking insight without holding identifiable personal data.
Legal & Compliance Teams
Operationalise data minimisation and purpose limitation by design, with audit-ready evidence that PETs are applied consistently.
Data Protection Officers (DPOs)
Reduce breach impact and demonstrate privacy-by-design to the Data Protection Board, knowing sensitive data is protected wherever it travels.
Frequently Asked Questions
PETs are techniques that let you use data while minimising exposure of personal information. Digital Anumati's PETs include data masking, anonymisation, pseudonymisation, and tokenisation — each suited to different use cases like testing, analytics, and secure data sharing.
Use Your Data Without Exposing It
Mask, anonymise, pseudonymise, and tokenise personal data by design. Build data minimisation into every workflow and stay DPDP Act compliant.
Talk to a DPDP Expert