A Comparative Analysis of India's DPDPA vs EU’s GDPR

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The European Union's General Data Protection Regulations (GDPR), enacted on May 25, 2018, has become the global standard for data protection laws. Similarly, India enacted the Digital Personal Data Protection Act (DPDPA) on August 11, 2023. Although not yet enforced, the DPDPA provides a robust framework for data protection, set to replace older regulations under the Information Technology Act, 2000 and related rules.

The DPDPA is often compared to the GDPR due to their shared principles, such as granting individuals rights to access, erase, and object to processing personal data and imposing security measures and enforcement provisions. Understanding how the DPDPA addresses regional needs while aligning with global standards is crucial for businesses to ensure compliance and avoid significant penalties.

This white paper explores a detailed comparison between the GDPR and DPDPA, helping businesses navigate the global landscape of data protection laws. Learn how Securiti helps organizations comply with both.

The Digital Personal Data Protection Act (DPDPA), enacted in India in August 2023, aims to balance individuals' rights to protect their personal data with the need for lawful data processing. The Act places obligations on Data Fiduciaries (entities processing data) and outlines the rights and duties of Data Principals (individuals whose data is processed). It also establishes financial penalties for data breaches.

A data controller (used in the context of GDPR) is an organization that determines the purposes and means of processing personal data. As defined by India's DPDP Act, a data fiduciary is an individual, company, or juristic entity who, alone or in collaboration with others, determines the purpose and means of processing personal data. While the title is different, the function is practically the same.

The General Data Protection Regulation (GDPR) designates the Data Protection Authorities (DPAs) in each EU member state as the main regulatory body. The European Data Protection Board (EDPB) oversees and manages these DPAs. In India, the Data Protection Board of India serves as the primary regulatory authority for the DPDPA, responsible for monitoring and ensuring compliance with the legislation.

EU AI Act: 5-Step AI Compliance Automation Playbook

Download the whitepaper to learn about the EU AI Act & its implication on high-risk AI systems, 5-step framework for AI compliance automation and Securiti’s automation toolkit for the EU AI Act.

Say Goodbye to ROT Data: A 6-Step Automation Guide

Eliminate redundant obsolete and trivial (ROT) data with a strategic 6-step automation guide. Download the whitepaper today to discover how to streamline data management and enhance efficiency with automation.

Navigating Sensitive Personal Information (SPI) Under U.S. State Privacy Laws

Download the whitepaper to understand how U.S. state privacy laws define Sensitive Personal Information (SPI) and what governance requirements businesses must follow to ensure compliance.

Navigating Data Regulations in the UAE Financial Services Industry

Download the whitepaper to explore key strategies and insights for navigating data regulations in the UAE's financial services industry. Learn about compliance with evolving privacy laws, data protection standards, and best practices for secure financial operations.

Navigating PI, SPI, and Compliance: Aligning with U.S. State Privacy Law Requirements

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FTC Cases on Data Privacy (2018–2024): A Comprehensive Analysis

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Navigating the Future: A Unified Approach to AI Impact and Risk Assessments

Securiti's whitepaper provides in-depth expert insights on the essentials of conducting AI risk and impact assessments under various global regulations. Read now to learn more.

Personalization But At What Cost? The Data Privacy Challenges In The Airline Industry

Securiti's whitepaper provides a detailed overview of the recent enforcement actions and data privacy challenges within the airline industry and how to address them.

Navigating the CFPB’s Personal Financial Data Rights Rule under the Dodd-Frank Act

The whitepaper gives a comprehensive overview of the CFPB’s Personal Financial Data Rights Rule under the Dodd-Frank Act, Section 1033.

CISO’s GenAI Security Blueprint: 2025 OWASP Top 10 LLM Risks

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At Securiti, our mission is to enable organizations to safely harness the incredible power of Data & AI.

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Build safe enterprise AI systems

Safe Enterprise AI Copilots
Implement rule-aware AI copilots across your organization’s data anywhere

View

Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

View

Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

View

Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

View

Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

View
Secure Data+AI anywhere

Data Security Posture Management
Secure sensitive data everywhere from hybrid multicloud to SaaS

View

AI Security & Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Security for AI Copilots in SaaS
Unblock the biggest impediments for Safe Adoption of AI Copilots like Microsoft 365 Copilot

View

Data Access Intelligence & Governance
Monitor user access to data and enforce least privilege controls

View

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Compliance Management
Assess & improve compliance with security best practices frameworks

View

Breach Impact Analysis
Analyze breach impact & automate notifications to affected individuals

View

Data Flow Governance
Understand data lineage and secure real-time streaming data

View
Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

View

Data Access Governance
Monitor sensitive data access and prevent unauthorized use

View

AI Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Data Catalog
Enable users to easily find, understand, trust and access the data they need

View

Data Lineage
Automatically track changes and transformations of data throughout its lifecycle

View

Data Quality
Conduct data quality checks and validation across various data types

View
Automate data privacy operations

Data Mapping Automation
Manage your entire data mapping lifecycle and automate RoPA reports

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Comply with emerging AI regulations and ensure safe use of AI

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Data Subject Request Automation
Automate entire DSR lifecycle from consumer request intake to secure report delivery

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Automate your entire assessment lifecycle and demonstrate compliance

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Consent Management
Manage your first-party and third-party consent lifecycle from scanning to reporting

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Breach Management
Automate your incident management and optimize notifications to users & regulatory bodies

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