AI privacy is the line between useful systems and unacceptable risk. In AIstify’s AI Privacy section, we cover how data is collected, protected, and governed as models move into products and workplaces. Expect reporting on privacy-by-design, consent, data retention, training data disputes, and the practical controls teams rely on: access management, redaction, encryption, and on-device approaches. Whether you are shipping features or setting policy, this hub helps you understand what regulators, customers, and security teams will ask next.
OpenAI and Databricks have forged a multiyear $100 million partnership to embed powerful AI agents into enterprise data platforms, enabling organizations to build agents using their own data.
Google is integrating Gemini AI into Chrome for U.S. users, bringing features like multi-tab summarization, agentic task automation, and deeper sync with Google apps.