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[…] or authenticate sensitive documents. Encryption applies a mathematical formula, which obfuscates plaintext information and transforms the plaintext into unreadable ciphertext. Each use of encryption generates a long number that is the mathematical solution to the formula and can unscramble the protected sensitive information. If a private key is not kept secret, anyone with the […]

[…] Linking assets won or purchased within a game to the user’s account LOCATION INFORMATION Preventing bad actors from accessing a young person’s location either on their own phone or when they share it with a parent MESSAGING & EMAIL Preventing thieves from breaching cell networks and accessing private messages and media PAYMENT DATA Preventing […]

[…] Linking assets won or purchased within a game to the user’s account LOCATION INFORMATION Preventing bad actors from accessing a young person’s location either on their own phone or when they share it with a parent MESSAGING & EMAIL Preventing thieves from breaching cell networks and accessing private messages and media PAYMENT DATA Preventing […]

[…] 3 FPF Analysis Processor Duties Processing must be governed by a “written, binding agreement” that sets forth clear instructions for processing. § 1125. The bill details a number of requirements that must be in the agreement, including that service providers must: • Have a duty of confidentiality ; • Protect RHI in a manner […]

[…] capabilities of smartphones to automatically report information to municipal government about the condition of the streets users drive on. When a user’s car hit a pothole, their phone recorded the shock and sent it to a data hub, which combined the information from many other phones to pinpoint problem areas on streets to be […]

[…] screenshots of a user’s browser window in order to populate a virtual shopping cart, from which intimate details about a person’s life could be inferred. As the number of individuals using AI agents and its use cases grow, so too could AI agents’ access to personal data. For example, AI agents may collect many […]

[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]

[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]

[…] is a leading autocracy and the architect of a massive surveillance state. But China is also a major player in data protection, having enacted and enforced a number of laws on information privacy. To explain how this came to be, the Article first discusses several top-down objectives often said to motivate China’s privacy laws: […]

[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]