ISO/IEC 42001: A New Standard for Ethical and Responsible AI Management

Artificial Intelligence (AI) has infiltrated various sectors of our lives, leading to an urgent need for standardized frameworks to ensure its ethical and responsible use. The ISO/IEC 42001 standard is a recent addition to the roster of international standards, aiming to provide organizations with a structured approach to managing AI systems while fostering innovation and … Read more

Comparing OpenAI vs. Azure OpenAI Services

OpenAI is an organization known for developing a variety of artificial intelligence (AI) models and tools, which are accessible through various platforms and services. Microsoft Azure is a cloud computing platform that offers a range of services and tools for building, deploying, and managing applications. Azure also provides AI services that enable developers and customers … Read more

Quebec’s Draft Regulation Respecting the Anonymization of Personal Information

On December 20, the Quebec government published the Draft Regulation respecting the anonymization of personal information in the Quebec Gazette. It follows a 45-day public consultation period. In this article, we’re setting out the most important obligations and highlighting how Private AI can help achieve compliance with Law25 in light of the new Regulation. Law25 … Read more

Version 3.6 Release: Enhanced Streaming, Auto Model Selection, and More in Our Data Privacy Platform

Hello, dear community! We are thrilled to announce Private AI’s final release of 2023 with Version 3.6. Let’s explore what’s new and enhanced in this version. https://www.private-ai.com/wp-content/uploads/2023/12/3.6-Release2.mp4 Improved Connectivity and Performance with WebSocket Clients are now able to connect over WebSocket. WebSocket provides a full-duplex communication channel over a single TCP connection, improving large-volume data … Read more

LGPD do Brasil: Anonimização, Pseudonimização e Solicitações de Acesso à Informação

Traduzido por Patrícia Graciano. Read in English here A Lei Geral de Proteção de Dados (LGPD), é o posicionamento do Brasil à privacidade de dados. Ela  determina as regras que as organizações que lidam com dados pessoais – e que não anonimizam esses dados – devem seguir. Nesse post, analisaremos a anonimização de dados, a … Read more

Brazil’s LGPD: Anonymization, Pseudonymization, and Access Requests

Leia em português aqui The Lei Geral de Proteção de Dados (LGPD), Brazil’s answer to data privacy, determines the rules organizations that handle personal data have to follow, unless they anonymize the data. This article delves into data anonymization, pseudonymization and what that means for data processing activities, as well as the LGPD’s stringent response … Read more

Canada’s Principles for Responsible, Trustworthy and Privacy-Protective Generative AI Technologies and How to Comply Using Private AI

The realm of generative AI, encompassing technologies that generate content like text, images, and videos, have seen a significant surge in usage and development. In response, the Office of the Privacy Commissioner of Canada (OPC) has introduced key privacy principles tailored to generative AI technologies on December 7, 2023. This framework is crucial for organizations … Read more

Data Integrity, Data Security, and the New NIST Cybersecurity Framework

Data security and integrity are two critical concepts in the world of cybersecurity. While they are often discussed together, they have distinct definitions and implications. Data security encompasses the processes and technical safeguards established to preserve data integrity, as well as confidentiality and availability of data. In this article, we will dive into the details … Read more

Safeguarding Privacy with Commercial LLMs

In the era of digital transformation, Large Language Models (LLMs) have emerged as powerful tools for businesses, enabling them to automate tasks, generate insights, and improve decision-making. However, the use of these models also brings forth significant privacy challenges. Despite the inherent privacy protections in enterprise solutions like Microsoft Azure OpenAI Services, residual privacy issues … Read more

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Language Packs

Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier. 

French
Spanish
Portuguese

Arabic
Hebrew
Persian (Farsi)
Swahili

French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish

Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)

Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese

Rappel

Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.

99.5%+ Accuracy

Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.

Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.