DPDP 2023 Compliance Automation for AI Companies
30-day DSR management. 72-hour breach notification. DPA lifecycle tracking. Built specifically for Indian AI companies processing personal data.
Free assessment · Results in 5 minutes · No credit card
DSR — Erasure
In Progress
Day 12
DSR — Access
Due Soon
Day 28
Breach Alert
Inference endpoint
72h Active
Day 2
DPA Renewal
AWS India
Upcoming
Day 45
DSR — Correction
Completed
Day 5
4
Open DSRs
1
Breach
12
DPAs
5 obligations AI companies must meet
The Digital Personal Data Protection Act 2023 creates specific compliance obligations for AI companies that process personal data of Indian residents.
Data Subject Requests (DSR)
Data principals can request access, correction, or erasure of their personal data. Anverith tracks every DSR with a 30-day countdown, automatic reminders, and a full audit trail.
How Anverith helps
Anverith Privacy Engine automates DSR intake, routing, and response tracking — with escalation alerts at Day 20 and Day 28.
Breach Notification
Any personal data breach must be reported to the Data Protection Board of India within 72 hours of the organisation becoming aware. This includes AI-related breaches — model inversion attacks, training data exfiltration, and inference endpoint breaches.
How Anverith helps
Anverith's breach tracker starts the 72-hour clock automatically on incident creation, with status updates and regulator notification templates.
Data Processing Agreements (DPA)
DPDP requires written agreements with all data processors — including cloud providers, AI model vendors, analytics platforms, and sub-processors. For AI companies, this includes your model training pipeline and inference infrastructure.
How Anverith helps
Anverith tracks all DPA statuses, expiry dates, and renewal workflows — with alerts 60 days before expiry.
Consent Management
Consent must be specific, informed, and freely given for each processing purpose. Data collected for product personalisation cannot be repurposed for AI model training without fresh consent. Bundled consent is invalid under DPDP.
How Anverith helps
Anverith maps your AI data flows to their consent basis and alerts when data is used beyond its consented purpose.
Reasonable Security Safeguards
DPDP requires 'reasonable security safeguards' to protect personal data — a standard that regulators interpret as industry best practice. For AI companies, this includes securing training datasets, inference endpoints, and model outputs that may contain personal data.
How Anverith helps
Anverith links your security controls to DPDP requirements and maintains evidence of implementation for regulatory inspection.
DPDP penalties are not optional reading
The Data Protection Board has the authority to investigate and impose fines without a court order. Per-violation penalties, not annual caps.
Source: Digital Personal Data Protection Act 2023, Schedule to the Act
Get DPDP compliant in 6 steps
Anverith automates the most complex parts — DSR tracking, breach notification, and DPA lifecycle management.
Data Mapping
Map all personal data flows in your AI systems — training data, inference inputs/outputs, logs, and analytics.
Consent Audit
Verify every data processing activity has a valid legal basis. Identify gaps in consent or legitimate interest documentation.
DSR Workflow
Deploy Anverith's DSR management system with 30-day SLA tracking, automated routing, and audit trails.
Breach Playbook
Configure the 72-hour breach notification workflow with escalation paths and regulator notification templates.
DPA Lifecycle
Register all data processors and processors' agreements. Set expiry alerts and renewal workflows.
Continuous Monitoring
Anverith monitors for consent drift, DPA expiry, and DSR SLA breaches — 24/7 with instant alerts.
Get DPDP-ready before enforcement hits
Take the free DPDP readiness assessment. Know exactly where you stand — before the Data Protection Board does.