Handling personal data has become a critical responsibility for organizations worldwide, especially in digital transformation. The General Data Protection Regulation (GDPR) plays a significant role in ensuring data privacy in the European Union (EU), and organizations must comply with its rules to avoid severe penalties. One important term under GDPR is “Data Processor.” 

 

If your organization processes personal data on behalf of another, it’s crucial to understand what a data processor is and its responsibilities.

 

In this blog, we’ll explain what a data processor is under GDPR, its key responsibilities, and how CyberArrow GRC can automate GDPR compliance.

 

What is a data processor?

 

A data processor is an individual or organization that processes personal data on behalf of a data controller. The data processor doesn’t own the data but acts according to the instructions provided by the data controller. In simple terms, the controller decides “what” data to collect and “why,” while the processor handles the “how” in terms of processing that data.

 

For example, if a company collects personal information from its customers and hires a cloud service provider to store that data, the cloud service provider acts as the data processor.

 

Key definitions under GDPR:

 

• Data Controller: The entity that determines the purposes and means of processing personal data.

 

• Data Processor: The entity that processes personal data on behalf of the controller.

 

In most cases, the processor does not have control over what data is being collected and does not use the data for its purposes.

 

Responsibilities of a Data Processor Under GDPR

 

GDPR outlines specific responsibilities for data processors to ensure that personal data is handled securely and in compliance with the regulation. Here are some of the key obligations:

 

1. Process Data Only on Instructions from the Data Controller

 

Data processors are not allowed to process personal data for their purposes. They must strictly follow the instructions provided by the data controller. If the processor wants to change how it processes data, it needs to get permission from the controller.

 

2. Ensure the Security of Processing

 

Processors must take adequate security measures to protect personal data. This includes technical and organizational safeguards to prevent unauthorized access, breaches, and data loss. Security measures can include:

 

• Encryption
• Regular security audits
• Access control

 

3. Assist the Data Controller with Compliance

 

The processor must assist the controller in ensuring compliance with GDPR, especially in areas like data subject rights. This could involve helping respond to requests for data access, rectification, or erasure.

 

4. Maintain Records of Processing Activities

 

Data processors are required to maintain records of their data processing activities. This helps ensure transparency and traceability of how personal data is handled.

 

5. Report Data Breaches

 

If a data breach occurs, the processor must notify the data controller without undue delay so that appropriate actions can be taken, including notifying the relevant authorities and impacted individuals.

 

6. Sub-Processors

 

If a processor needs to hire another entity (sub-processor) to help with data processing, they must get approval from the data controller. The sub-processor must also comply with GDPR.

 

 

Common examples of data processors

 

• Cloud service providers: Store data on behalf of organizations.

 

• Payroll companies: Process employee data to run payroll systems for other companies.

 

• Marketing agencies: Run data-driven campaigns using customer information collected by their clients.

 

• IT support services: Manage servers and databases containing personal data.

 

Data processor vs. data controller: What’s the difference?

 

Understanding the difference between a data processor and a data controller is crucial under GDPR.

 

Here’s a quick comparison:

 

Aspect	Data controller	Data processor
Determines the purpose of data processing	Yes	No
Determines how data is processed	Yes	No
Processes data on behalf of others	No	Yes
Has legal obligations under GDPR	Yes	Yes
Must ensure the security of data	Yes	Yes

 

Legal agreements: Data Processing Agreements (DPAs)

 

Under GDPR, data controllers and processors are required to enter into a Data Processing Agreement (DPA). This agreement outlines the rights and responsibilities of both parties when it comes to data handling. The DPA should include:

 

• The subject matter and duration of processing.
• The nature and purpose of processing.
• The types of personal data involved.
• Obligations of both the controller and processor.

 

The DPA serves as a critical legal framework that ensures both the data processor and the data controller are aligned in complying with GDPR.

 

Use Case: Payroll outsourcing

 

Let’s consider an example of payroll outsourcing to understand how data processors function under GDPR:

 

A government agency, acting as a data controller, hires a payroll service provider (data processor) to manage its payroll data. The payroll service provider processes personal employee information such as names, addresses, and bank account details to generate pay slips and ensure employees are paid on time.

 

In this scenario:

 

• The government agency provides the payroll service with clear instructions on how the data should be processed.

 

• The payroll service must ensure data is securely stored and processed, adhering to all GDPR regulations.

 

• If the payroll provider needs to use a third-party tool for processing, they must first get approval from the agency (data controller).

 

• If there’s a data breach, the payroll provider must immediately inform the agency so it can take appropriate action.

 

Consequences of non-compliance for data processors

 

Failure to comply with GDPR can result in significant penalties for both data processors and controllers. The fines can go up to €20 million or 4% of global annual turnover, whichever is higher.

 

For example, if a data processor fails to implement appropriate security measures and experiences a data breach, they can face heavy fines and reputational damage. This highlights the importance of adhering to GDPR requirements and ensuring the secure handling of personal data.

 

Automating GDPR compliance with CyberArrow GRC

 

Keeping up with GDPR compliance can be overwhelming, especially when managing numerous data processing activities. But CyberArrow GRC has made it a breeze. CyberArrow GRC is a governance, risk, and compliance platform that automates many of the compliance-related tasks, making it easier for organizations to meet GDPR standards. 

 

Here’s how CyberArrow GRC can help:

 

• Simplified policy creation: Automate the creation and distribution of data protection policies across your organization, ensuring all team members are aware of GDPR requirements.

 

• Audit-ready documentation: Maintain up-to-date records of data processing activities, agreements, and security measures, making audits and assessments easier.

 

• Real-time monitoring: Keep track of your organization’s compliance status in real-time, identifying gaps in data protection practices.

 

• Employee training programs: Automate training programs for employees, ensuring they are aware of GDPR rules and their responsibilities as data processors or controllers.

 

• Data breach management: In case of a data breach, CyberArrow GRC helps with reporting and corrective actions, ensuring you remain compliant with GDPR’s breach notification requirements.

 

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