Private AI and Spirion Join Forces to Enhance Global Data Protection

Oct 12, 2023
Share this post
Sharing to FacebookSharing to LinkedInSharing to XSharing to Email

Sensitive and personally identifiable data elements contained in images and PDFs can be automatically redacted to safeguard against unauthorized views.TORONTO, October 12, 2023 -Private AI, a leading provider of data privacy software solutions backed by Microsoft’s venture fund, has announced a strategic partnership with Spirion, a pioneer in sensitive data governance, to integrate their best-in-class redaction capabilities into the Spirion Sensitive Data Platform® (SDP).Spirion enables organizations to gain visibility into their sensitive data footprint and reduce risk exposure. Spirion SDP discovers and classifies sensitive data with unmatched accuracy wherever it resides in the IT environment. With Spirion Playbooks®, security teams can then create workflows to automate controls, including redaction, based on the sensitivity of the data and other contexts.Private AI provides state-of-the-art de-identification technology for 50+ types of personal information within text, audio, images, and documents, allowing companies to securely unlock the value of their data.The integration of Spirion’s data discovery tool with Private AI’s redaction software will offer organizations a powerful and comprehensive solution for managing sensitive information contained in images, videos, PDFs, and more by obfuscating sensitive and personally identifiable (PII) data elements, for instance, a driver’s license number contained in an image. By redacting sensitive information before it is accessed or used, organizations can limit the identifying information and other sensitive data that’s shared, mitigating the risk of leaks and data breaches.“Our companies have a mutual commitment to protect data privacy and enable data protection regulatory compliance,” said Patricia Thaine, Co-Founder and CEO of Private AI. “We are excited to work with Spirion to help organizations unlock the value of their data while ensuring that sensitive information is safeguarded and handled with the utmost care.”“We’re delighted to bring Private AI’s redaction solutions to Spirion’s customers,” said Spirion's Director of Product Management, Ryan Tully. “Large companies tend to have millions of PDFs and OCR images in their IT and email environments. Spiron can uniquely find sensitive stored in these formats, and with this partnership, Spirion customers can now automatically redact sensitive data so that it is obscured and protected from viewing.About Private AIFounded in 2019 by privacy and machine learning experts from the University of Toronto, Private AI’s mission is to create a privacy layer for software 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/About SpirionSpirion has relentlessly solved real data protection problems since 2006 with accurate, contextual discovery of structured and unstructured data; purposeful classification; automated real-time risk remediation; and powerful analytics and dashboards to give organizations greater visibility into their most at-risk data and assets. Spirion’s Privacy-Grade™ data protection software enables organizations to reduce risk exposure, gain visibility into their data footprint, and improve business efficiencies and decision-making while facilitating compliance with data protection laws and regulations.

Data Left Behind: AI Scribes’ Promises in Healthcare

Data Left Behind: Healthcare’s Untapped Goldmine

The Future of Health Data: How New Tech is Changing the Game

Why is linguistics essential when dealing with healthcare data?

Why Health Data Strategies Fail Before They Start

Private AI to Redefine Enterprise Data Privacy and Compliance with NVIDIA

EDPB’s Pseudonymization Guideline and the Challenge of Unstructured Data

HHS’ proposed HIPAA Amendment to Strengthen Cybersecurity in Healthcare and how Private AI can Support Compliance

Japan's Health Data Anonymization Act: Enabling Large-Scale Health Research

What the International AI Safety Report 2025 has to say about Privacy Risks from General Purpose AI

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

How Private AI Facilitates GDPR Compliance for AI Models: Insights from the EDPB's Latest Opinion

Navigating the New Frontier of Data Privacy: Protecting Confidential Company Information in the Age of AI

Belgium’s Data Protection Authority on the Interplay of the EU AI Act and the GDPR

Enhancing Compliance with US Privacy Regulations for the Insurance Industry Using Private AI

Navigating Compliance with Quebec’s Act Respecting Health and Social Services Information Through Private AI’s De-identification Technology

Unlocking New Levels of Accuracy in Privacy-Preserving AI with Co-Reference Resolution

Strengthened Data Protection Enforcement on the Horizon in Japan

How Private AI Can Help to Comply with Thailand's PDPA

How Private AI Can Help Financial Institutions Comply with OSFI Guidelines

The American Privacy Rights Act – The Next Generation of Privacy Laws

How Private AI Can Help with Compliance under China’s Personal Information Protection Law (PIPL)

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

Independent Review Certifies Private AI’s PII Identification Model as Secure and Reliable

To Use or Not to Use AI: A Delicate Balance Between Productivity and Privacy

To Use or Not to Use AI: A Delicate Balance Between Productivity and Privacy

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

Handling Personal Information by Financial Institutions in Japan – The Strict Requirements of the FSA Guidelines

日本における金融機関の個人情報の取り扱い - 金融庁ガイドラインの要件

Leveraging Private AI to Meet the EDPB’s AI Audit Checklist for GDPR-Compliant AI Systems

Who is Responsible for Protecting PII?

How Private AI can help the Public Sector to Comply with the Strengthening Cyber Security and Building Trust in the Public Sector Act, 2024

A Comparison of the Approaches to Generative AI in Japan and China

Updated OECD AI Principles to keep up with novel and increased risks from general purpose and generative AI

Is Consent Required for Processing Personal Data via LLMs?

The evolving landscape of data privacy legislation in healthcare in Germany

The CIO’s and CISO’s Guide for Proactive Reporting and DLP with Private AI and Elastic

The Evolving Landscape of Health Data Protection Laws in the United States

Comparing Privacy and Safety Concerns Around Llama 2, GPT4, and Gemini

How to Safely Redact PII from Segment Events using Destination Insert Functions and Private AI API

WHO’s AI Ethics and Governance Guidance for Large Multi-Modal Models operating in the Health Sector – Data Protection Considerations

How to Protect Confidential Corporate Information in the ChatGPT Era

Unlocking the Power of Retrieval Augmented Generation with Added Privacy: A Comprehensive Guide

Leveraging ChatGPT and other AI Tools for Legal Services

Leveraging ChatGPT and other AI tools for HR

Leveraging ChatGPT in the Banking Industry

Law 25 and Data Transfers Outside of Quebec

The Colorado and Connecticut Data Privacy Acts

Unlocking Compliance with the Japanese Data Privacy Act (APPI) using Private AI

Tokenization and Its Benefits for Data Protection

Private AI Launches Cloud API to Streamline Data Privacy

Processing of Special Categories of Data in Germany

End-to-end Privacy Management

Privacy Breach Reporting Requirements under Law25

Migrating Your Privacy Workflows from Amazon Comprehend to Private AI

A Comparison of the Approaches to Generative AI in the US and EU

Benefits of AI in Healthcare and Data Sources (Part 1)

Privacy Attacks against Data and AI Models (Part 3)

Risks of Noncompliance and Challenges around Privacy-Preserving Techniques (Part 2)

Enhancing Data Lake Security: A Guide to PII Scanning in S3 buckets

The Costs of a Data Breach in the Healthcare Sector and its Privacy Compliance Implications

Navigating GDPR Compliance in the Life Cycle of LLM-Based Solutions

What’s New in Version 3.8

How to Protect Your Business from Data Leaks: Lessons from Toyota and the Department of Home Affairs

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

Safeguarding Personal Data in Sentiment Analysis: A Guide to PII Anonymization

Changes to South Korea’s Personal Information Protection Act to Take Effect on March 15, 2024

Australia’s Plan to Regulate High-Risk AI

How Private AI can help comply with the EU AI Act

Comment la Loi 25 Impacte l'Utilisation de ChatGPT et de l'IA en Général

Endgültiger Entwurf des Gesetzes über Künstliche Intelligenz – Datenschutzpflichten der KI-Modelle mit Allgemeinem Verwendungszweck

How Law25 Impacts the Use of ChatGPT and AI in General

Is Salesforce Law25 Compliant?

Creating De-Identified Embeddings

Exciting Updates in 3.7

EU AI Act Final Draft – Obligations of General-Purpose AI Systems relating to Data Privacy

FTC Privacy Enforcement Actions Against AI Companies

The CCPA, CPRA, and California's Evolving Data Protection Landscape

HIPAA Compliance – Expert Determination Aided by Private AI

Private AI Software As a Service Agreement

EU's Review of Canada's Data Protection Adequacy: Implications for Ongoing Privacy Reform

Acceptable Use Policy

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

Reviewing OpenAI's 31st Jan 2024 Privacy and Business Terms Updates

Comparing OpenAI vs. Azure OpenAI Services

Quebec’s Draft Regulation Respecting the Anonymization of Personal Information

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

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

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

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

Private AI Named One of The Most Innovative RegTech Companies by RegTech100

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

Safeguarding Privacy with Commercial LLMs

Cybersecurity in the Public Sector: Protecting Vital Services

Privacy Impact Assessment (PIA) Requirements under Law25

Elevate Your Experience with Version 3.5

Fine-Tuning LLMs with a Focus on Privacy

GDPR in Germany: Challenges of German Data Privacy (Part 2)

Comply with US Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence using Private AI

How to Comply with EU AI Act using PrivateGPT