Patricia Graciano

We’ve talked a lot about how technology is transforming healthcare. From ambient listening devices to voice-based assistants, we’re seeing a data explosion. This shift (what many call a “data revolution”) is especially visible in the rise of AI scribes: tools that automatically generate clinical notes from doctor-patient conversations.The promise is big: faster diagnoses, more personalized care, and a lighter admin load for clinicians. But there’s a catch: most of this data never gets used.

Clinical notes. Imaging reports. Lab results. Transcripts from patient conversations. It’s all full of critical insights, but none of it fits neatly into rows and columns – it’s all unstructured data.

We’ve said it before, and we’ll say it again: healthcare data has the power to transform care. It can personalize treatments and speed up diagnoses in ways we’ve only dreamed of.But here’s the part nobody really likes to talk about: most healthcare data strategies fail before they even get off the ground.

Toronto, Canada – [February 20, 2025] – Private AI, a leader in privacy-preserving artificial intelligence, is proud to announce its integration with NVIDIA NeMo Guardrails to bring advanced privacy and compliance capabilities to enterprises leveraging large language models (LLMs), enabling them to unlock the potential of generative AI while safeguarding sensitive data.

The European Data Protection Board (EDPB) recently released its comprehensive Guidelines 01/2025 on Pseudonymisation, a document rich with practical insights into the application of pseudonymisation under the General Data Protection Regulation (GDPR).

On December 27, 2024, the U.S. Department of Health and Human Services (HHS), through its Office for Civil Rights (OCR), issued a proposed rule to enhance the cybersecurity measures required under the HIPAA Security Rule. This Notice of Proposed Rulemaking (NPRM) seeks to bolster the defenses of the U.S. healthcare system against the rising tide of cyberattacks, particularly those targeting electronic protected health information (ePHI). The changes aim to address critical weaknesses, clarify obligations, and align the Security Rule with modern cybersecurity practices.

Artificial intelligence and large language models (LLMs) are transforming the way we work, and the boundaries of data privacy are being tested like never before. While most organizations have measures in place to secure their proprietary algorithms and internal data repositories, there’s a growing challenge that can’t be overlooked: the uncontrolled sharing of Confidential Company Information (CCI) by users interacting with third-party AI systems.

User reviews have become a crucial element for businesses seeking to understand consumer sentiment, improve products, and build trust with their audience.

An independent evaluation has confirmed that Private AI’s Personal Identifying Information (PII) identification model is both highly effective and secure.

AI has undoubtedly taken over the world, becoming an indispensable tool for companies looking to maintain a competitive edge. The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030.

AI has undoubtedly taken over the world, becoming an indispensable tool for companies looking to maintain a competitive edge.

The European Union’s General Data Protection Regulation (GDPR) regulates what kind of processing is permitted that involves “special categories of data,” which includes race, origin, religious belief, and health data, among others.

Private AI, a leading provider of data privacy solutions, has introduced a Cloud API for its cutting-edge PII detection, redaction, and data minimization solution. This innovative tool is set to transform how businesses safeguard and manage sensitive customer data.