Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with ...

The responsible gathering of data on consumers is intrinsic to the verification tools that keep everyone safe from identity theft and other forms of fraud. Blanket attacks on "data brokers" will harm ...

Apple is fairly consistent in rolling out new security and privacy options for its users, and one of the latest to be pushed to the public at large is Advanced Data Protection. As the name suggests, ...

New AI-powered capabilities help federal agencies automate compliance reporting, strengthen cyber resilience, and ...

Companies that fail to prevent data leaks will be fined up to 10 percent of total revenue, up from the original 3 percent, starting on Sept. 11.

2. A description of the security breach, which should include: a. the categories and number of data subjects concerned 3. The measures taken or proposed to be taken to mitigate or address the possible ...

Data protection is no longer a “nice-to-have” for beauty brands—it’s structural. According to IBM’s 2024 report, the average ...

Tennessee has entered the consumer privacy playing field with the Tennessee Information Protection Act (TIPA), joining a growing cohort of American states that refuse to wait for a privacy law at the ...

Large-scale data breaches and privacy violations have become a common occurrence over the past decade amid the vast collection of personal information online. In response, a plethora of data ...

On October 14, the Cyberspace Administration of China (“CAC”) and the SAMR jointly released the Personal Information Export Certification Measures, which take effect on January 1, 2026. The measures ...