Those charged with protecting and ensuring the privacy of user data are facing new challenges in the age of generative AI.
Even as generative AI captures society's interest, its implications remain very much in flux. Professionals, casual technology users, students and hundreds of other constituencies today use GenAI tools ranging from ChatGPT to Microsoft Copilot. Use cases span the gamut, from the creation of AI art to the distillation of large works.
The technology is proliferating at an alarming pace -- particularly for information security and privacy professionals whose focus is on data governance. Many such practitioners still hold GenAI at arm's length.
GenAI learns from data and has a voracious appetite. AI developers, backers and users are often all too eager to forklift heaping helpings of data into large language models (LLMs) to get unique and profound results from the platform.
Despite the benefits, this exposes three major generative AI data privacy and security concerns.