Skyflow announces DPDP Data Privacy Vault for India

Skyflow, the global leader in AI data security and privacy has announced the launch of a purpose-built solution to meet Digital Personal Data Protection (DPDP) Act’s toughest technical requirements. Skyflow’s DPDP Data Privacy Vault Platform helps enterprises exclusively protect personal data, govern its use, and accelerate safe AI innovation, while staying compliant with the rules.

The DPDP Rules, notified on November 13, 2025, officially mark India’s shift towards a privacy-first digital economy. With only 18 months to comply and penalties reaching up to ₹250 crores (~$30 million) per violation, enterprises must modernize their personal data protection architecture now.

The Personal Data Sprawl Problem

India’s rapid digital growth has powered major advances across sectors, but it has also created massive exposure. Personal data now flows through every product, decision, and AI workflow, and in the process gets copied into countless systems. This “Personal data sprawl” shows up in app databases, logs, analytics warehouses, SaaS tools, reports, data lakes, and AI training pipelines. It’s a growing risk: a 2024 Protiviti–CII survey found that only 24% of Indian organizations feel prepared for the privacy challenges posed by emerging technologies. The result is fragmented data that’s nearly impossible to govern, protect, or use safely for AI with traditional security models.

Data Protection Built for DPDP and AI

Skyflow Data Privacy Vault Platform tackles this challenge by isolating and protecting sensitive customer data in a centralized data privacy vault while securing the flow of data across datastores, agents and models.Skyflow’s platform provides an architectural foundation to meet the technical requirements of DPDP rules which require system-level actions and safeguard personal data throughout its lifecycle.

·  Personal Data Security Safeguards: Ensures personal data stays protected across every system where it is processed. Skyflow applies advanced privacy controls  including polymorphic encryption, format-preserving tokenization, masking, and obfuscation, so data remains secure throughout its lifecycle and yet usable, even when implemented in analytics or AI workflows. (Adheres to rule 6 (a, d))

·  Personal Data Governance: Provides engineering teams with visibility and access to fine-grained, purpose-aware controls, and reliable retention rules, with internal and external data processors. (Adheres to rule 6 (b, c, e, f, g))

·  Audit-Ready Compliance Reporting: Supplies immutable logs, observability and consolidated audit reports on personal data, simplifying compliance and security teams’ efforts on audit & regulatory reviews. (Adheres to rule 6 (c, e))

·  Consent & Data Principal Rights Enforcement: Once consent is collected, ensures accurate enforcement of itemized consent updates and data principal requests consistently. (Adheres to rules 3, 14)

·  Privacy-First AI Enablement: Uses entity-preserving tokens to support analytics, model training, inference pipelines, and agentic AI systems without exposing underlying personal data. (Adheres to rule 6 (a))

Commenting on the announcement, Anshu Sharma, CEO and Co-founder of Skyflow said, “India has 1.4 billion people and will soon have 1.4 trillion agents with AI. Protecting the personal data of 1.4 billion people requires purpose-built infrastructure and architecture, not incremental fixes. The DPDP Act raises the bar for trust and accountability, and Skyflow helps enterprises meet it while safely adopting AI.”

As the 18-month compliance window begins, organizations that embrace data privacy vault platform today will emerge tomorrow as leaders in India’s AI-driven economy and protect as well as improve their own customer lifetime value.