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General Data Protection Regulation (GDPR)

European Union. Adopted by the European Union and enforced by national Data Protection Authorities (DPAs) across EU and EEA member states.

EU AI Act

EU AI Act

ISO 42001 - AI Governance Framework

ISO 42001

Colorado AI Act

Colorado AI Act

NIST AI RMF

Cananda AI Act

Canada AIDA

nyc bias audit law

New York LLC 144

Brazil AI Act

Brazil AI Act

California AB 2013

California SB 1120

California AB 3030

NIST - AI Governance Framework

NIST GAI

The primary objective is to protect individuals’ fundamental rights and freedoms related to personal data, while harmonizing data protection laws across the EU and enabling the free flow of data within the internal market.

Why This Framework Matters

From a business and risk perspective, GDPR is arguably one of the most impactful international data protection regulations implemented to date.
Personal information has been one of the essential assets in contemporary organizations, yet its misuse, breach, or unclear usage may trigger serious regulatory, financial, and reputational risks. Indeed, the way in which the General Data Protection Regulation has revolutionized the way in which organizations have to handle, use, store, and process personal information has been significant in itself.

The framework is important as it:

  • Imposes clear and enforceable obligations on data processing activities,
  • Introduces concept of “concept mechanism”, “personal data” and “data protection by design”
  • Establishes severe penalties for non-compliance or breach
  • Establishes a global benchmark that impacts other regimes globally.

GDPR compliance is not just another legal compliance for AI-driven and data-intense organizations; rather, it enables trust, stability in marketplaces and even open doors to new markets

Key Areas Covered by the Framework (Regulatory highlights)

General Data Protection Regulation (GDPR) is built around a set of core data protection principles and rights, supported by operational obligations.

Lawful, Fair, and Transparent Processing

Personal data must be processed on a valid legal basis (such as consent, contract, or legitimate interest) and in a transparent manner that individuals can understand.

Data Minimization and Purpose Limitation

Organizations may only collect data that is necessary for specified purposes and must not reuse it in incompatible ways.

Data Subject Rights

GDPR grants individuals enforceable rights, including access, rectification, erasure,

restriction, portability, and objection to processing, including certain automated decision- making.

Accountability and Governance

Organizations must be able to demonstrate compliance through documented policies, records of processing activities, risk assessments, and governance controls.

Governance, Documentation & Controls

General Data Protection Regulation (GDPR) requires organizations to implement structured data protection governance supported by documentation and technical measures:

  • Records of Processing Activities (RoPA): Documentation of what data is processed, for what purpose, and under which legal basis.
  • Data Protection Impact Assessments (DPIAs): Mandatory risk assessments for high- risk processing, including many AI use cases.
  • Privacy by Design and by Default: Integration of data protection safeguards into systems and processes from the outset.
  • Policies and Procedures: Data protection policies, retention schedules, breach response plans, and data subject rights procedures.
  • Security Measures: Appropriate technical and organizational safeguards to protect personal data.
  • Vendor and Transfer Controls: Contractual safeguards and transfer mechanisms for third parties and cross-border data flows.

 

Governance is a central theme of General Data Protection Regulation (GDPR); organizations must not only comply but prove compliance.

How Our Platform Enables Compliance

Our platform helps organizations execute their General Data Protection Regulation (GDPR) compliance mandates through end-to-end data governance processes:

Compliance-Ready Documentation

Generates RoPA (Record of Processing Activities) documentation, DPIA(Data
Protection Impact Assessment) documentation, policy records, and evidential logs in a format ready for auditing.

Ownership and Accountability Assignment

Identifies the specific controls under General Data Protection Regulation (GDPR) that a person is in charge of, such as consent management or DPIA ownership.

Audit Transcripts and Evidence Repository

Maintains a centralized record of compliance decisions, regulator documentation, and audit interactions.

Scalable Data and AI Governance

It helps to achieve General Data Protection Regulation (GDPR) conformity across various products, countries, and Artificial Intelligence applications without
duplicative compliance activities.

Compliance Dashboard

Depicts easy to comprehend dashboard to asses compliance progress.

This enables an organization to move away from reactive GDPR compliance toward a proactive position.

Penalties & Liability Exposure

The General Data Protection Regulation (GDPR) itself provides some of the highest fines available under data protection regulations. Regulatory authorities have the power to impose administrative fines of up to €20 million or 4% of the global annual turnover of an organisation for serious breaches of the regulations. For less serious wrongdoing, the authorities can impose lower fines of up to €10 million or 2% of the global annual turnover of the organisation. Notably, affected individuals may seek damages for both material and non-material damage caused due to violations of the GDPR. It needs to be highlighted that the determination of enforcement is on the one hand based on the wrongdoing itself but will also cover the internal organisation and accountability efforts of the organisation.

Who Should Pay Attention

General Data Protection Regulation (GDPR) is particularly relevant for:

  • Organizations processing EU personal data,
  • Technology, SaaS, and AI companies,
  • Marketing, HR, and analytics teams,
  • Legal, compliance, and data protection officers,
  • Boards and executives overseeing enterprise

Any organization using AI or automated decision-making involving personal data must treat GDPR as a foundational compliance framework.

Update & Implementation Status

GDPR is fully in force and actively being enforced throughout the EU. Enforcement of the GDPR is trending towards the principles of transparency, legal bases, data minimization, and AI processing.

Moreover, the regulatory guidelines are constantly evolving, especially pertaining to “automated decision making,” “profiling,” or “AI system.”

Organizations that integrate GDPR into their business processes are best placed to respond to changes to corresponding advice and enforcement and to other overlapping AI
regulations.