NEW YORK & BERLIN–(BUSINESS WIRE)–Anonos, a leader in data privacy, security, and enablement, announces the availability of a pivotal report, article, workshop, and panel discussion, emphasizing the critical role of “Performant Privacy” in Artificial Intelligence (AI), Large Language Models (LLMs), and Generative AI (GenAI).
Performant Privacy focuses on revolutionary privacy tools capable of safeguarding sensitive data types, including Personal Identifiable Information (PII), location, and proprietary business data, while maintaining data utility in contemporary applications like AI, LLM, and GenAI. Applications such as ChatGPT and similar platforms fall under this category. With Performant Privacy controls, a wealth of high-value but high-risk data can lawfully be made available to benefit society and commerce. Addressing the challenges head-on associated with utilizing this data is crucial, as organizational and contractual measures alone cannot ensure data protection in AI/LLM/GenAI applications. Similarly, conventional technological measures like encryption, access controls, data masking, and tokenization fall short of securing inter-organizational data flows.
For example, while access controls and encryption protect data against unauthorized access, they do not limit entities with authorization from misusing it, such as leveraging the data to uncover identity through the “Mosaic Effect,” which occurs when multiple data sets are combined to identify individuals within the data sets, even if they were individually considered anonymous. Masking and tokenization act to secure data when viewed in isolation; however, the occurrence of the “Mosaic Effect” is derived from the combination and correlation of datasets.