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EDPB’s Pseudonymization Guideline and the Challenge of Unstructured Data
Compliance
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February 14, 2025

EDPB’s Pseudonymization Guideline and the Challenge of Unstructured Data

The EDPB's Guidelines 01/2025 on Pseudonymisation offer detailed guidance on GDPR-compliant pseudonymization, but they sidestep one of the hardest practical challenges: reliably identifying and replacing personal identifiers in unstructured data. This article unpacks what the guidelines say, what they leave out, and how organizations can close the gap.

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Privacy
HHS Proposed HIPAA Security Rule Update: What Healthcare Organizations Need to Know
Health Data
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February 13, 2025

HHS Proposed HIPAA Security Rule Update: What Healthcare Organizations Need to Know

HHS has proposed sweeping updates to the HIPAA Security Rule, tightening cybersecurity requirements for every entity that handles electronic protected health information. This article breaks down what is changing, why it matters, where the rulemaking stands today, and how Limina's privacy-enhancing technology helps healthcare organizations meet the new standards.

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Compliance
Privacy
What the International AI Safety Report 2025 has to say about Privacy Risks from General Purpose AI
Artificial Intelligence
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February 11, 2025

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

The International AI Safety Report 2025, authored by 96 global AI experts, identifies three categories of privacy risk posed by general-purpose AI: risks from training data, risks during active use, and risks from intentional misuse. Here is what the report found, and what it means for organizations handling sensitive data.

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How Limina Facilitates GDPR Compliance for AI Models: Insights from the EDPB's Latest Opinion
Compliance
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December 20, 2024

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

The EDPB's Opinion 28/2024 raises the stakes for GDPR compliance in AI development. Learn what the guidance means for your organization and how Limina helps you meet its requirements at every stage of the AI lifecycle.

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Privacy
Navigating the New Frontier of Data Privacy: Protecting Confidential Company Information in the Age of AI
Privacy
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November 14, 2024

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

As employees turn to AI tools for everyday tasks, confidential company information is at risk of being shared with third-party systems. This article explores the growing threat of unintentional data exposure through AI, what qualifies as confidential company information, and how organizations can protect sensitive data without sacrificing productivity.

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Artificial Intelligence
Insurance Privacy Compliance: NAIC Model Laws, Reform, and the Role of Data De-identification
Compliance
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November 13, 2024

Insurance Privacy Compliance: NAIC Model Laws, Reform, and the Role of Data De-identification

The US insurance industry faces a shifting landscape of privacy regulations, from NAIC model laws to Gramm-Leach-Bliley Act requirements. This article breaks down existing obligations, the stalled Model #674 reform, proposed amendments to Model #672, and how Limina's data de-identification technology helps insurers stay compliant, reduce breach exposure, and prepare for what comes next.

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Privacy
Belgium's Data Protection Authority on the Interplay of the EU AI Act and the GDPR
Compliance
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November 13, 2024

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

Belgium's Data Protection Authority has published a detailed report on how the EU AI Act and the GDPR interact. This article examines the report's key insights, its notable gaps, and the practical compliance implications for organisations deploying or developing AI systems.

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Navigating Compliance with Quebec’s Act Respecting Health and Social Services Information Through Private AI’s De-identification Technology
Compliance
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October 29, 2024

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

Quebec's Act Respecting Health and Social Services Information (ARHSSI) sets a high bar for data privacy in the province's health sector, including a sweeping obligation to de-identify personal health information by default. This article breaks down what the law requires, who it applies to, and how Limina's de-identification technology helps organizations meet their obligations and avoid steep penalties.

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Health Data
Unlocking New Levels of Accuracy in Privacy-Preserving AI with Co-Reference Resolution
Limina Updates
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October 25, 2024

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

When AI systems fail to recognize that "Robert Johnson," "Bob Johnson," and "R. Johnson" all refer to the same person, the results are fragmented summaries, missed insights, and unreliable outputs. Co-reference resolution solves this -- and Limina has built it directly into its privacy-first data de-identification layer.

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Privacy
How Limina Helps Organizations Comply With Thailand's PDPA
Compliance
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October 9, 2024

How Limina Helps Organizations Comply With Thailand's PDPA

Thailand's Personal Data Protection Act (PDPA) sets strict rules around data minimization, cross-border transfers, and breach reporting. Here is how Limina helps organizations achieve compliance.

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The American Privacy Rights Act: What APRA Means for Your Business
Compliance
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September 19, 2024

The American Privacy Rights Act: What APRA Means for Your Business

The American Privacy Rights Act would mark a turning point in US privacy law, introducing sweeping obligations around data minimization, algorithmic accountability, and individual rights. Here is what organizations need to know about APRA's scope, requirements, and compliance timeline.

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How Limina Helps Organizations Achieve Compliance Under China's Personal Information Protection Law (PIPL)
Compliance
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September 17, 2024

How Limina Helps Organizations Achieve Compliance Under China's Personal Information Protection Law (PIPL)

China's PIPL sets some of the strictest data privacy standards in the world and applies to organizations far beyond China's borders. This guide breaks down PIPL's key compliance requirements and explains how Limina's context-aware de-identification technology helps organizations meet them.

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PII Redaction for Reviews Data: Ensuring Privacy Compliance when Using Review APIs
Privacy
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September 13, 2024

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.

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Compliance
Independent Review Certifies Limina’s PII Identification Model as Secure and Reliable
Limina Updates
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September 10, 2024

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

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

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To Use or Not to Use AI: A Delicate Balance Between Productivity and Privacy
Artificial Intelligence
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August 29, 2024

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

AI promises real productivity gains, but it also introduces serious privacy risks. This article explores why the question is no longer whether to use AI, but how to use it responsibly without exposing sensitive data.

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