Teach every team how to use AI tools without turning a routine prompt into a reportable personal-data breach.
DPDP compliance training prepares Indian organisations to meet the Digital Personal Data Protection Act while adopting AI. Employees learn lawful basis, purpose limitation, data minimisation, security safeguards, breach notification and data-principal rights, then apply them through an approved-tool matrix covering ChatGPT, Microsoft 365 Copilot, Claude and Gemini. Nirmal Rabari delivers the programme in half-day, full-day and two-day formats across India.
The moment an employee pastes a customer record, a CV or a financial statement into a public chatbot, the organisation - not the tool - becomes accountable. The DPDP Act does not distinguish between an enterprise licence and a personal free-tier login used on a personal laptop.
Personal data, sensitive data, consent, cross-border transfer and accountability in plain language.
Training data, retention and tenancy differences between free and enterprise ChatGPT, Copilot, Gemini and Claude.
Anonymise, tokenise and re-identify inside a controlled workflow so useful work still gets done.
A one-page grid: task, approved tool, permitted data classification.
Recognise, report and remediate accidental disclosure within statutory timelines.
HR, sales, finance, IT and support scenarios run live in the room.
Training that teaches employees how the Digital Personal Data Protection Act applies to their daily work - what counts as personal data, what lawful basis and purpose limitation mean, and how to use AI tools without creating a reportable breach.
Not for personal data. Enterprise ChatGPT, Microsoft 365 Copilot or Gemini for Workspace with a data processing agreement in place is the defensible choice.
Three tiers: leadership for governance framing, legal and DPO teams for depth, and business teams for the day-to-day playbook. A single flat session fails all three.
Half-day awareness, full-day workshop, or two days for legal, IT and DPO cohorts.
Yes. An accidental disclosure into a public model is a reportable event, and the session covers detection, containment, documentation and notification.
An acceptable-use policy draft, an approved-tool matrix, an incident-reporting channel design and a 90-day rollout plan.