Securiti leads GigaOm's DSPM Vendor Evaluation with top ratings across technical capabilities & business value.

View

ANPD Begins LGPD Enforcement : Meta & Telekall Infoservice In Crosshairs

Contributors

Anas Baig

Product Marketing Manager at Securiti

Adeel Hasan

Sr. Data Privacy Analyst at Securiti

CIPM, CIPP/Canada

Listen to the content

On July 6, 2023, Brazil's primary data protection authority, the National Data Protection Authority (ANPD), issued its first regulatory sanction against an organization (Telekall Infoservice) for failing to comply with the General Personal Data Protection Act (LGPD).

Telekall Infoservice, a telecommunications company, found itself subject to regulatory fines prescribed by the LGPD for non-compliance nearly three years after the law first went into effect in September 2020.

Furthermore, the ANPD has escalated its enforcement actions, highlighting Meta's alleged non-compliance with LGPD regulatory requirements through its Threads platform with a detailed analysis of its data processing activities already underway.

Hence, understanding the alleged violations of these two platforms can help organizations working in Brazil ensure compliance in their data processing activities.

The Telekall Infoservice Case

The Alleged Violation/Non-Compliance

The Telekall Infoservice case is historic. It represents the first-ever sanctions imposed by the ANPD under the LGPD. The company is accused of violating Articles 5, 7, and 41 of the LGPD.

Article 5 contains a detailed list of definitions. Article 7 states the legal basis for the processing of personal data.

Article 41 requires the controllers to appoint an officer in charge of their personal data processing activities. Such personnel's contact details and identity must be publicly disclosed on the controller’s website.

The initial investigation into Telekall Infoservice's non-compliance began in March 2022, after it came to light that Telekall Infoservice had not appointed a data protection officer and had proceeded to process user data without their express consent.

In the official press release issued jointly by the Ministry of Justice and Public Security, the ANPD, and the General Coordination of Supervision (CGF), Telekall Infoservice is issued both a warning and a fine.

Potential Penalties

The mechanisms around the fine are a bit complicated.

The official amount levied is R$ 7,200 ($1,450) for violating Article 5 and R$ 7,200 ($1,450) for violating Article 7. For violating Article 41, it has received a warning without imposing corrective measures.

However, suppose Telekall Infoservice can resolve the violations as per the provisions of Article 18 of the LGPD and renounce the right to appeal the decision. In that case, the company will be entitled to a 25% reduction in the total fine applied.

Telekall Infoservice will have ten (10) working days to comply with the decision or launch an official appeal and twenty (20) working days to pay the fine. This period will begin as soon as Telekall Infoservice has received official knowledge of the sanctions.

If Telekall Infoservice fails to comply with the abovementioned sanctions, its case will be forwarded to the Specialized Federal Prosecutor’s Office (PFE). The PFE will then initiate their own sanctions and fines per the Informative Register of Unpaid Credits of the Federal Public Sector (Cadin) and in the Active Debt of the Union.

The Threads Case

The Alleged Violation/Non-Compliance

In July 2023, the ANPD announced that it had begun analyzing Meta's sensitive and personal data processing activities on its Threads platform.

Furthermore, a preliminary study has already been conducted by the General Coordination of Technology and Research (CGTP). This initial study will help the ANPD gain a basic understanding of Thread’s data collection practices before it starts its comprehensive analysis.

The announcement came after several privacy and data protection experts within the country, raised objectives over Meta's disproportionate data collection practices and lack of transparency around the purpose of such data collection.

Additionally, users are required to consent to the collection of sensitive information such as their health-related data, financial data, and online purchasing history.

The ANPD's analysis primarily determines whether it should recommend a supervisory process to the General Coordination of Supervision (CGF).

Potential Penalties

Meta's potential fines and penalties will be clarified once the ANPD concludes its analysis and decides whether to forward the case to the CGF. At that point, Meta's exact violations of the LGPD will become clear, allowing for a better estimate of the potential fines it may face if found guilty of the alleged violations.

How Can Securiti Help

With the ANPD escalating its supervision of LGPD compliance, it has become critically important for organizations to adopt a proactive approach to their compliance efforts.

Automation offers organizations the chance to do so both effectively and efficiently.

Securiti's Privacycenter.cloud solution enables organizations to adopt a dynamic and automated approach towards their LGPD compliance efforts related to data privacy, security, and governance.

With its easy-to-use interface and a centralized dashboard, the Privacycenter.cloud solution offers organizations the chance to implement changes in real-time in addition to monitoring compliance efforts across multiple domains.

Additionally, in-built data mapping assessment enables organizations to identify risky processes when data has been collected or retained without consent, allowing you to take corrective actions and avoid non-compliance with LGPD provisions.

Request a demo today and learn how Securiti can help your organization better comply with LGPD regulations.

Join Our Newsletter

Get all the latest information, law updates and more delivered to your inbox


Share


More Stories that May Interest You

Videos

View More

Mitigating OWASP Top 10 for LLM Applications 2025

Generative AI (GenAI) has transformed how enterprises operate, scale, and grow. There’s an AI application for every purpose, from increasing employee productivity to streamlining...

View More

DSPM vs. CSPM – What’s the Difference?

While the cloud has offered the world immense growth opportunities, it has also introduced unprecedented challenges and risks. Solutions like Cloud Security Posture Management...

View More

Top 6 DSPM Use Cases

With the advent of Generative AI (GenAI), data has become more dynamic. New data is generated faster than ever, transmitted to various systems, applications,...

View More

Colorado Privacy Act (CPA)

What is the Colorado Privacy Act? The CPA is a comprehensive privacy law signed on July 7, 2021. It established new standards for personal...

View More

Securiti for Copilot in SaaS

Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...

View More

Top 10 Considerations for Safely Using Unstructured Data with GenAI

A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....

View More

Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes

As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...

View More

Navigating CPRA: Key Insights for Businesses

What is CPRA? The California Privacy Rights Act (CPRA) is California's state legislation aimed at protecting residents' digital privacy. It became effective on January...

View More

Navigating the Shift: Transitioning to PCI DSS v4.0

What is PCI DSS? PCI DSS (Payment Card Industry Data Security Standard) is a set of security standards to ensure safe processing, storage, and...

View More

Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)

AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 14:21

AI Governance Is Much More than Technology Risk Mitigation

AI Governance Is Much More than Technology Risk Mitigation
Watch Now View
Spotlight 12:!3

You Can’t Build Pipelines, Warehouses, or AI Platforms Without Business Knowledge

Watch Now View
Spotlight 47:42

Cybersecurity – Where Leaders are Buying, Building, and Partnering

Rehan Jalil
Watch Now View
Spotlight 27:29

Building Safe AI with Databricks and Gencore

Rehan Jalil
Watch Now View
Spotlight 46:02

Building Safe Enterprise AI: A Practical Roadmap

Watch Now View
Spotlight 13:32

Ensuring Solid Governance Is Like Squeezing Jello

Watch Now View
Spotlight 40:46

Securing Embedded AI: Accelerate SaaS AI Copilot Adoption Safely

Watch Now View
Spotlight 10:05

Unstructured Data: Analytics Goldmine or a Governance Minefield?

Viral Kamdar
Watch Now View
Spotlight 21:30

Companies Cannot Grow If CISOs Don’t Allow Experimentation

Watch Now View
Spotlight 2:48

Unlocking Gen AI For Enterprise With Rehan Jalil

Rehan Jalil
Watch Now View

Latest

View More

From Trial to Trusted: Securely Scaling Microsoft Copilot in the Enterprise

AI copilots and agents embedded in SaaS are rapidly reshaping how enterprises work. Business leaders and IT teams see them as a gateway to...

The ROI of Safe Enterprise AI View More

The ROI of Safe Enterprise AI: A Business Leader’s Guide

The fundamental truth of today’s competitive landscape is that businesses harnessing data through AI will outperform those that don’t. Especially with 90% of enterprise...

Data Security Governance View More

Data Security Governance: Key Principles and Best Practices for Protection

Learn about Data Security Governance, its importance in protecting sensitive data, ensuring compliance, and managing risks. Best practices for securing data.

AI TRiSM View More

What is AI TRiSM and Why It’s Essential in the Era of GenAI

The launch of ChatGPT in late 2022 was a watershed moment for AI, introducing the world to the possibilities of GenAI. After OpenAI made...

Managing Privacy Risks in Large Language Models (LLMs) View More

Managing Privacy Risks in Large Language Models (LLMs)

Download the whitepaper to learn how to manage privacy risks in large language models (LLMs). Gain comprehensive insights to avoid violations.

View More

Top 10 Privacy Milestones That Defined 2024

Discover the top 10 privacy milestones that defined 2024. Learn how privacy evolved in 2024, including key legislations enacted, data breaches, and AI milestones.

Comparison of RoPA Field Requirements Across Jurisdictions View More

Comparison of RoPA Field Requirements Across Jurisdictions

Download the infographic to compare Records of Processing Activities (RoPA) field requirements across jurisdictions. Learn its importance, penalties, and how to navigate RoPA.

Navigating Kenya’s Data Protection Act View More

Navigating Kenya’s Data Protection Act: What Organizations Need To Know

Download the infographic to discover key details about navigating Kenya’s Data Protection Act and simplify your compliance journey.

Gencore AI and Amazon Bedrock View More

Building Enterprise-Grade AI with Gencore AI and Amazon Bedrock

Learn how to build secure enterprise AI copilots with Amazon Bedrock models, protect AI interactions with LLM Firewalls, and apply OWASP Top 10 LLM...

DSPM Vendor Due Diligence View More

DSPM Vendor Due Diligence

DSPM’s Buyer Guide ebook is designed to help CISOs and their teams ask the right questions and consider the right capabilities when looking for...

What's
New