Data Privacy and Protection
Organizations in Singapore face growing expectations from regulators and customers to manage personal data responsibly in collection, use, disclosure, protection, retention and breach preparedness. The Personal Data Protection Act (PDPA) provides the baseline requirements, and organizations are increasingly expected to demonstrate accountability with evidence and not just policies.
EY professionals help organizations assess PDPA readiness, identify gaps across people, processes and technologies and enhance privacy operations with practical, risk-based recommendations. EY professionals also support development of data inventories and ownership of data, conduct data protection impact assessments, assess breach readiness, support response planning and provide privacy training to help maintain compliance.
Where needed, EY member firms can coordinate collaborations globally to address cross-border requirements.
AI Governance and Assurance
There is a growing need for AI governance, data readiness and compliance to keep pace with accelerating AI adoption as gaps in these areas can undermine trust, adoption and compliance readiness.
EY professionals help organizations build trust and confidence in their AI ecosystem across three core components: AI-ready data, AI governance and controls, and AI systems and models.
This involves assistance in strengthening foundations like clear data ownership and stewardship, classification, data quality, and end-to-end lineage and visibility of data flows, which are critical to scaling up AI use responsibly.
EY professionals also provide structured maturity assessments, compliance and risk reviews, and assurance-oriented testing, such as governance and control testing, data quality checks, and model validation. Where relevant, test procedures are aligned with ISO/IEC 42001, which sets requirements for establishing and continually improving an AI management system.
Together, such assistance helps organizations build trust in their data, strengthen governance and foster greater confidence in AI outcomes.