Ensure compliance with PDPL: Organizations should review and update their data protection practices to meet the PDPL requirements, including annual compliance assessments and technical safeguards.

Ensure GDPR Compliance: Developers and managers should use the CNIL's how-to sheets to integrate GDPR principles into AI systems from the start. Frequently Asked Questions What guidance does the ...

Ensure robust data protection measures: Organizations should carefully design and implement agentic AI systems to mitigate data protection risks and leverage innovation opportunities.

Engage with the Data Barometer: Stakeholders should utilize the data barometer results to inform their data protection policies and practices. Frequently Asked Questions What is the data barometer ...

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Review GDPR Compliance: Organizations should review their GDPR compliance practices in light of potential changes proposed by the Digital Omnibus. Frequently Asked Questions What emphasis does the ...

On July 17, 2024, the California Department of Technology updated the Privacy Threshold Assessment and Privacy Impact Assessment form (PTA and PIA form). Originally ...

Review national laws: Organizations should review their national laws to understand the remedies available for preventive court orders and ensure compliance with GDPR regarding non-material damage ...

On June 23, 2025, the Saudi Data & Artificial Intelligence Authority (SDAIA) joined the OECD's Recommendation on Artificial Intelligence, aiming to foster innovation and trust through responsible ...

The 2019 Implementation Guide, released by SAMR and SAC, provides guidance for implementing the Multi-layered Protection Scheme (MLPS) in cybersecurity, effective from March 2020. MLPS 2.0, revealed ...

The Ministry of Information Technology published a revised draft of the Personal Data Protection Bill, introducing new definitions and establishing the National Commission for Personal Data Protection ...