Privacy

At Private AI, we pride ourselves on making scalable solutions for large companies, small businesses, and government institutions that need to securely handle the potentially sensitive data and information that is flowing through their infrastructure. We understand the importance of maintaining data privacy and meeting regulatory compliance standards, and our goal is to ensure that … Read more

Generative AI has become a cornerstone of modern technology, with potential applications ranging from content creation and customer service to scientific research and healthcare. However, as these powerful tools proliferate, they present a diverse set of risks and opportunities that require prudent oversight. Two major players in the global landscape, the United States and the … Read more

Privacy Attacks against Data and AI Models Part 1 of this series covers the benefits of AI models in healthcare and the data sources available for training such models. Part 2 addresses privacy compliance challenges as well as challenges surrounding privacy-preserving techniques employed during AI development. This last part of our series gets a bit … Read more

Risks of Noncompliance and Challenges around Privacy-Preserving Techniques Despite the promising signs of AI used in healthcare that we explored in Part 1 of this series, ethical concerns persist regarding the potential misuse of these innovations and safeguarding health data. For instance, drug discovery AI systems have demonstrated remarkable efficiency aiding harmful discoveries as well, … Read more

Benefits of AI in Healthcare and Data Sources AI has already brought marvellous advancements in the healthcare sector but awareness is on the rise around the risks associated with it as well. In this series of posts, we are concerned with the ethical and legal compliance issue of protecting privacy and safeguarding health data used in … Read more

Introduction Data lakes are messy with vast amounts of data scattered everywhere as they serve as repositories for a myriad of structured and unstructured data. Amidst this chaos lies a treasure trove of valuable and sometimes sensitive information, including data that can directly or indirectly identify individuals, known as Personally Identifiable Information (PII). As organizations … Read more

About a year ago we covered the 2022 Cost of a Data Breach Report by IBM. The 2022 report had surfaced that the cost was highest in the healthcare and financial industry, followed by pharmaceuticals and technology. In 2023 this was equally so as the latest report shows. In fact, the cost in the healthcare … Read more

In today’s data-driven landscape, the use of AI-based solutions, such as ChatGPT, has become increasingly prevalent. These solutions leverage the power of artificial intelligence to analyze data, generate insights, and facilitate interactions with users. However, with the rise of AI technologies, it is crucial to consider the implications for data protection and privacy, particularly in … Read more

Hello, dear community! We continue to see exciting improvements released since 3.7. Here is a synopsis of highlights from the version 3.8 updates release. Translated Redaction Labels Private AI supports text processing in multiple languages, and redaction markers are now also available in multiple languages. See the Supported Language documentation for more information on which languages … Read more

Data leaks are a serious threat to any business, and particularly those handling sensitive personal information, such as customer’s financial or health records. We discussed the costs of data breaches previously in this blog post. But even when no malicious actors are involved, data leaks can expose businesses to legal liability, reputational damage, and loss … Read more