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Private AI 4.0: Your Data’s Potential, Protected and Unlocked

I’m thrilled to announce Private AI 4.0. This release redefines how healthcare businesses harness their unstructured data while maintaining fine-grained privacy controls and the highest standards of compliance. With Private AI 4.0, we are turning challenges into opportunities by enabling analytics confidently and securely to improve patient outcomes, accelerate research, and drive operational efficiency.

Privacy and Compliance Considerations for ChatGPT Applications

With OpenAI’s and Azure OpenAI’s API offerings, businesses are enabled to develop their own applications on top of the powerful large language models (LLMs) underlying ChatGPT, Whisper, and OpenAI’s other models.

Privacy Enhancing Technologies Decision Tree

Privacy Enhancing Technologies Decision Tree: for developers, managers, and founders looking to integrate privacy into their software pipelines and products.

Part 2: Homomorphic Encryption for Beginners

We discuss a practical application of homomorphic encryption to privacy-preserving signal processing, particularly focusing on the Fourier transform.

Privacy Enhancing Data De-Identification Framework - ISO/IEC 27559:2022(E)

Privacy Breach Reporting Requirements under Law25

The evolving landscape of data protection in Canada sees provinces enacting or refining their respective privacy legislations to address the challenges of the digital age.

Perfecting privacy: Private AI secures $8M USD in funding to expand their “Privacy Layer for Software”

Private AI’s solution gets to the root of the problem by identifying, removing, and replacing personal data with an unparalleled level of accuracy. With $8 million secured in Series A funding, they have begun expanding their operations across Europe and investing in product enhancements, such as the forthcoming self-service platform.

Part 1: Homomorphic Encryption for Beginners

We cover the basics of homomorphic encryption, followed by a brief overview of open source HE libraries and a tutorial on how to use one of those libraries (namely, PALISADE).

Parameter Prediction & Training Without SGD with Prof. Graham Taylor

PII Redaction for Reviews Data: Ensuring Privacy Compliance when Using Review APIs

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

News from NIST: Dioptra, AI Risk Management Framework (AI RMF) Generative AI Profile, and How PII Identification and Redaction can Support Suggested Best Practices

Acting on its obligations flowing from a 2023 Executive Order, the US Department of Commerce’s National Institute of Standards and Technology (NIST) has recently released two new tools to aid companies developing Generative AI models (GenAI) do so responsibly and securely.

NVIDIA DALI: Speeding up PyTorch

Some techniques to improve DALI resource usage & create a completely CPU-based pipeline.

New Zealand's Privacy Act 2020 and How it Compares to the GDPR

New York's Acceptable Use of AI Policy: A Focus on Privacy Obligations

New York State has taken a step towards ensuring responsible and ethical use of Artificial Intelligence (AI) technologies in the public sector through its newly established Acceptable Use of Artificial Intelligence Technologies policy.

Navigating the Privacy Paradox: A Guide to Ethical Fine-Tuning of Large Language Models

In the field of artificial intelligence, Large Language Models (LLMs) such as GPT-4 stand out as a major innovation, proving useful in a range of areas including automated customer support and creative content generation.