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

View

GDPR Data Collection Requirements

Get Free GDPR Assessment
Published September 2, 2022
Contributors

Anas Baig

Product Marketing Manager at Securiti

Maria Khan

Data Privacy Legal Manager at Securiti

FIP, CIPT, CIPM, CIPP/E

Listen to the content

This post is also available in: Brazilian Portuguese

The General Data Protection Regulation or GDPR, is known as one of the most extensive privacy laws in the world. This law covers the entirety of the EU and any organization doing business with these countries. The major aspect of this law is to protect the consumers rights to privacy, which means that any organization in the world collecting personal information of residents from the EU needs to abide by GDPR requirements.

Data Collection Requirements under GDPR

According to the GDPR, certain information may be collected and stored as long as the users remain completely anonymous. You may not store data in such a way that the users can be tracked. Data must be held for the shortest amount of time possible. The GDPR requires organizations to collect personal data only on a lawful basis. Article 6 of the GDPR provides the following 6 lawful basis:

  1. Consent: where the data subject has given consent to the processing of his or her personal data for one or more specific purposes.
  2. Performance of a contract: where processing is necessary for the performance of a contract to which the data subject is a party or in order to take steps at the request of the data subject prior to entering into a contract.
  3. Compliance with legal obligation: where the processing is necessary for compliance with a legal obligation to which the controller is subject.
  4. Vital interests: where the processing is necessary in order to protect the vital interests of the data subject or of another natural person.
  5. Public interest: where the processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller.
  6. Legitimate interests: where the processing is necessary for the purposes of the legitimate interests pursued by the controller or by a third party, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child.

In addition to the above lawful bases, organizations must be mindful of key data collection and processing principles. Article 5 of the GDPR provides the following key data protection principles:

  1. Lawfulness, fairness and transparency: this principle requires organizations to collect and process data lawfully, fairly, and in a transparent manner.
  2. Purpose limitation: this principle requires organizations to collect and process data only for specified, explicit, and legitimate purposes.
  3. Data minimization: this principle requires organizations to collect data only that is adequate, relevant, and limited to what is necessary for the purposes for which they are processed.
  4. Accuracy: this principle requires organizations to keep the data accurate. In case data is inaccurate, organizations need to either erase the data or have it rectified.
  5. Storage limitation: Once data has served its purpose, it should be removed from the organizations’ servers in order to save space and avoid any compliance issues. Data cannot be stored for longer than is necessary for the purposes for which it is processed.
  6. Integrity and confidentiality: this principle requires organizations to ensure that personal data is protected against unauthorized or unlawful processing or security incidents and it has appropriate security controls at all times.
  7. Accountability:  this principle holds organizations responsible for the protection of personal data. Organizations must be able to demonstrate compliance with the applicable legal requirements.

What Organizations Need to Record

Under Article 30 of the GDPR, organizations are required to keep written records of data processing activities. These records should consist of the following items:

  • Contact details of all controllers, processors, and DPOs
  • Methods by which information is gathered
  • Categories of information collected
  • Categories of data subjects
  • Categories of recipients of this information
  • Purpose of data collection
  • Use of data
  • Specific groups affected by this data-gathering
  • Transfer information to third countries, including third country or international organization
  • Estimation of how long the data will be retained or data retention periods
  • Security measures undertaken to protect subjects' personal data

Touchpoints of GDPR Collection

When collecting an individual's data, there are several things an organization needs to make sure of in order to stay compliant with the GDPR. There are a number of ways that an organization can obtain an individual's data (These are known as touchpoints).

A few examples of touchpoints include:

  • Emails
  • Social media channels
  • Live chat applications
  • Reverse IP lookup
  • Cookies on the company’s website

In order to make sure that data collected via afore-mentioned touchpoints is in line with the requirements of the GDPR, organizations must ensure the following:

  1. Processing of personal data only on lawful grounds.
  2. Appropriate security controls to prevent data losses or security incidents.
  3. Adequate fulfillment and timely responses to data subjects’ requests.
  4. Adequate fulfillment of breach notification requirements.
  5. Regular Privacy Impact Assessments and Data Protection Impact Assessments (DPIA) to mitigate any potential privacy risks in data processing activities.
  6. Adequate consent management processes and records of data subjects’ consent for consent-based data processing.
  7. Updated and comprehensive records of data processing activities (RoPA).

Conclusion

Collecting data is the first step an organization takes, which opens up privacy concerns for organizations. In order to remain compliant with privacy regulations, organizations need an all-in-one tool that can help them lawfully collect data and in turn stay in compliance with privacy regulations.

Securiti’s sensitive data intelligence solution allows organizations to honor all GDPR principles and requirements before collecting a consumer's data. It also allows organizations to protect this collected data and only use it for its intended purpose.

Sign up today to watch a demo and see how Securiti SDI can help your organization.


Frequently Asked Questions (FAQs)

Under GDPR, data collection must be done lawfully and transparently. This typically involves obtaining explicit consent from data subjects or relying on other lawful bases for data processing, such as legitimate interests or legal obligations.

GDPR allows the collection of personal data, including basic identifiers, demographic and financial information, health and biometric data, online identifiers, professional details, location data, and cultural or social identity information.However, the GDPR imposes strict principles on data collection and processing, emphasizing explicit and informed consent, and placing heightened safeguards on sensitive data categories.

GDPR does not prevent data collection but places strict requirements on how personal data is collected , processed and stored to protect the privacy and rights of data subjects.

Yes, data collection must follow GDPR’s principles, such as lawfulness, fairness, transparency, purpose limitation, data minimization, accuracy, storage limitation, integrity, and confidentiality.

Your Data+AI Command Center

Enable Safe Use of Data and AI

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 13:38

Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines

Sanofi Thumbnail
Watch Now View
Spotlight 10:35

There’s Been a Material Shift in the Data Center of Gravity

Watch Now View
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

Latest

AI System Observability: Go Beyond Model Governance View More

AI System Observability: Go Beyond Model Governance

Across industries, AI systems are no longer just tools acting on human prompts. The AI landscape is evolving rapidly, and AI systems are gaining...

View More

Securiti Accelerates Secure Agentic AI Deployments with NVIDIA Enterprise AI Factory

Still adapting to  the initial Gen AI boom, the IT industry is now undergoing another profound evolution- the rise of Agentic AI. AI has...

Enterprise Data Security View More

What is Enterprise Data Security?

Get comprehensive insights into enterprise data security, what it is, its importance, key components, and how Securiti helps ensure the utmost enterprise data security.

Cloud Security Posture Management View More

What is Cloud Security Posture Management (CSPM)?

Learn the importance of CSPM for modern enterprises, the core capabilities to consider, and clears several misconceptions related to it.

Mastering Cookie Consent: Global Compliance & Customer Trust View More

Mastering Cookie Consent: Global Compliance & Customer Trust

Discover how to master cookie consent with strategies for global compliance and building customer trust while aligning with key data privacy regulations.

Why Data Access Is Your Weakest Link—And How DSPM Fixes It View More

Why Data Access Is Your Weakest Link—And How DSPM Fixes It

Learn how DSPM provides unified Data+AI Access governance, offering contextual data intelligence, automated controls, safe AI+data access, and consistent least-privilege enforcement.

The European Health Data Space Regulation View More

The European Health Data Space Regulation: A Legislative Timeline and Implementation Roadmap

Download the infographic on the European Health Data Space Regulation, which features a clear timeline and roadmap highlighting key legislative milestones, implementation phases, and...

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.

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