DPDPGuard.ai – As Indian businesses prepare for the phased implementation of the Digital Personal Data Protection (DPDP) Act, 2023 and the DPDP Rules, 2025, BharatLaw AI (Lexguide Technologies) has launched DPDPGuard.ai, a compliance platform designed to help organisations operationalise data-protection requirements through automated, India-specific workflows.
The stakes are significant. Under the DPDP Act, penalties for specified breaches can extend up to ₹250 crore, including for failure to take reasonable security safeguards to prevent personal data breaches. Other specified breaches can attract penalties of up to ₹200 crore, ₹150 crore and ₹50 crore, depending on the nature of the non-compliance.
The urgency has increased with the notification of the DPDP Rules, 2025 in November 2025. The first substantive deadline falls in November 2026, when the framework governing the registration of Consent Managers comes into force. The broader set of operational requirements — covering notice, security safeguards, breach reporting and data-principal rights — follows eighteen months after notification. For most organisations, the preparation window is now measured in months rather than years.
The challenge extends beyond understanding the legislation. Organisations must translate regulatory requirements into repeatable processes, and do so against specific operational clocks. In the event of a personal data breach, affected Data Principals and the Data Protection Board are to be informed without delay, with detailed information furnished to the Board within 72 hours. Data Principals must also be informed at least 48 hours before personal data is erased under the applicable retention framework.
DPDPGuard.ai brings consent management across digital and non-digital channels, privacy-policy generation, data-principal rights handling, cookie discovery and classification, breach lifecycle management and retention governance into one connected workflow. It includes a consent banner supported by a tamper-evident audit trail, in which each consent record is cryptographically hashed and chained so that alteration can be detected on verification; an AI-assisted privacy-policy generator built around the DPDP framework; and a self-service portal through which Data Principals can view and withdraw consents, raise grievances and file rights requests. Statutory deadlines for breach reporting and erasure are tracked and notified against the clock that governs each.
A significant part of the platform addresses consent collected away from a website or an app. Consent captured at paper forms, QR codes, field agents, point-of-sale counters and IVR flows is recorded in the same audited register as web and mobile consent, with itemised opt-in against each stated purpose. Each capture produces a verifiable receipt, and the Data Principal can withdraw consent later without holding an account. Where consent is given on behalf of a child, only a cryptographic hash of the guardian’s verification evidence is stored, never the identity document itself.
For development teams, DPDPGuard.ai publishes software development kits for Android, iOS, Flutter, React Native, JavaScript, Node.js, JVM and Python, alongside a component for Convex applications, so that consent collection and rights handling can be embedded directly into an organisation’s own products.
Chintan Shah, Founder, BharatLaw AI (Lexguide Technologies), said, “Data privacy is increasingly an operational and governance responsibility for businesses, rather than a standalone legal requirement. The challenge is to translate regulatory obligations into processes that can be consistently implemented and monitored. A large share of consent in India is still collected at a counter, on a form or over a phone call, and a compliance record that covers only the website is an incomplete one.”
DPDPGuard.ai is designed for organisations that process significant volumes of personal data, with potential use cases spanning BFSI and fintech, e-commerce and retail, telemarketing, healthcare, EdTech and SaaS. Unlike generic global cookie-consent tools that may require adaptation for Indian requirements, it has been built around the Indian framework — tracking the CERT-In six-hour and DPDP 72-hour reporting clocks separately, supporting Consent Manager registration, publishing notices across the languages named in the Eighth Schedule, and checking DPDP erasure obligations against sectoral minimum-retention requirements.
For more information visit: dpdpguard.ai.
