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Thailand’s Personal Data Protection Act (PDPA) was signed into law in 2019 and came into force in mid 2022. It is in many ways inspired by Europe’s General Data Protection Regulation (GDPR) but with some notable differences, e.g., potential prison time for violations in addition to criminal and administrative fines and a greater social good carve-out from the consent requirement when processing sensitive information.

The Office of the Superintendent of Financial Institutions (OSFI) has set forth guidelines to ensure that Federally Regulated Financial Institutions (FIs) maintain robust data security, risk management, and operational resilience. Private AI’s advanced machine learning and natural language processing technologies provide helpful tools that can help FRFIs meet these requirements efficiently and effectively.

For the longest time, the US was one notable outlier in the global trend of developing federal-level comprehensive privacy laws.

China’s Personal Information Protection Law (PIPL) that come into force November 1, 2021 sets out stringent requirements for the handling,

User reviews have become a crucial element for businesses seeking to understand consumer sentiment, improve products, and build trust with their audience.

An independent evaluation has confirmed that Private AI’s Personal Identifying Information (PII) identification model is both highly effective and secure.

AI has undoubtedly taken over the world, becoming an indispensable tool for companies looking to maintain a competitive edge. The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030.

Acting on its obligations flowing from a 2023 Executive Order, the US Department of Commerce’s National Institute of Standards and Technology (NIST) has recently released two new tools to aid companies developing Generative AI models (GenAI) do so responsibly and securely.

Under the APPI, businesses must adhere to strict rules regarding the processing of personal information, in particular when it comes to the disclosure or transfer of such information.

As the European Union continues to strengthen its data protection and artificial intelligence (AI) regulations, organizations are seeking innovative ways to ensure compliance. Private AI, a cutting-edge approach to machine learning that prioritizes data privacy, has emerged as a powerful tool in this landscape.

Personally identifiable information (PII) is any data that can be used to identify an individual directly or indirectly, such as their name, social security number, date of birth, gender, ZIP code, and more.

Ontario’s Bill 194, formally known as the Strengthening Cyber Security and Building Trust in the Public Sector Act, 2024, represents a crucial legislative shift, aiming to fortify digital security and elevate trust within public sector entities.

In the rapidly evolving landscape of generative AI, distinct regulatory and ethical approaches have emerged, reflecting the values, ambitions, and constraints of various global players.

On May 3, 2024, the OECD released updated AI Principles that build upon the 2019 version with some notable differences.

Under the General Data Protection Regulation (GDPR), consent is only one of the legal bases that can be used to process personal data, including when using Large Language Models (LLMs) to boost the efficiency of processing personal information.

The healthcare sector has witnessed a remarkable evolution in data privacy legislation from the 1970s to the present, mirroring the technological innovations of the time.

Being able to manage the data and information within a company’s infrastructure is critical for properly assessing when sensitive information is either being mismanaged or to report an “all clear” when company policies are being followed as intended.