Private AI Launches Cloud API to Streamline Data Privacy

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TORONTO, ON, May 1st, 2024 — 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. The Private AI Cloud API stands out for its unmatched convenience, scalability, and accuracy, making it a game-changer for developers and enterprises.

Private AI’s AI-powered solution is capable of identifying, redacting, and replacing over 50 types of Personally Identifiable Information (PII) in more than 50 languages. Now, with the availability of the Cloud API, businesses can effortlessly incorporate these powerful PII detection capabilities into their existing workflows and applications. This seamless integration helps ensure the highest level of data security and regulatory compliance.

“Our new PII detection cloud API represents a significant milestone in our mission to create the privacy layer for data,” said Patricia Thaine, CEO and Co-Founder of Private AI. “We understand the challenges developers face in managing infrastructure and staying ahead of evolving security threats and increasing regulatory requirements around data minimization, as well as risk and privacy impact assessments. With our Cloud API, we’re providing a seamless best-in-class solution that allows businesses to focus on innovation while we handle the heavy lifting of PII detection.”

With the Private AI Cloud API, developers can explore and expand their capabilities with confidence, knowing they only pay for what they use. The API is ready for immediate use, with no complicated setup or code changes required. Private AI regularly updates the Cloud API with the latest model upgrades and features, ensuring that developers always have access to the most advanced tools without incurring additional costs. Additionally, for large-scale customers, our solution offers a seamless hybrid deployment model, ensuring scalability and flexibility.

“We’re committed to empowering developers and businesses with the tools they need to ensure compliance and keep consumer trust,” added Thaine. “With the Private AI Cloud API, our customers can trust that their sensitive information is safely identified and minimized to only what they absolutely need, allowing them to innovate with confidence.”

For more information about the Private AI Cloud API, visit private-ai.com

About Private AI

Founded in 2019 by privacy and machine learning experts from the University of Toronto, Private AI’s mission is to create a privacy layer for data and enhance compliance with current regulations such as the GDPR. Identifying, reducing and removing privacy risks using AI, Private AI allows companies to unlock the value of the data they collect – whether it’s structured or unstructured data. Private AI is backed by M12, Microsoft’s venture fund, and BDC, and has been named a World Economic Forum 2023 Technology Pioneer, GartnerⓇ Cool Vendor™ in Privacy, as well as one of the 2022 CB Insights AI 100, CIX Top 20, Regtech100, and more. Learn more at: https://www.private-ai.com/

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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.