Automated Decision-Making under GDPR and CPRA - A Comparative Analysis

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The automation of decision-making processes has tenfold as data-hungry organizations utilize more and more data across various sectors. This necessitates a rigorous understanding of the legal landscape governing automated decision-making, particularly the European Union’s General Data Protection Regulation (GDPR) and the California Privacy Rights Act (CPRA).

This comparative analysis explores the differences between automated decision-making under GDPR and CPRA, providing a comprehensive understanding of how each regulation addresses automated decision-making and compliance obligations imposed on businesses with respect to automated decision-making under the GDPR and the CPPA Proposed Rules.

GDPR is an EU law focused on data protection and privacy for individuals within the EU. It imposes strict compliance obligations on businesses, setting a benchmark for other countries. CPRA is a US state law that builds on the CCPA. It empowers Californians with enhanced privacy rights and introduces strict provisions for applicable businesses.

Automated decision-making refers to the use of AI systems and algorithms to make or significantly influence decisions without human intervention. It may involve the processing of personal data. Automated decision-making relies on data-driven analysis to identify patterns and make autonomous decisions that can have significant legal, economic, or personal impacts.

Non-compliance with GDPR can result in fines of up to €20 million or 4% of annual global turnover, whichever is higher. Under CPRA, penalties can reach $7,500 per intentional violation and $2,500 per unintentional violation, with additional provisions for data breaches involving minors.

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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
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
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

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

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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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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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