These will help individuals and organizations understand, apply, and comply with the General Data Protection Regulation (GDPR).
The General Data Protection Regulation (GDPR) is a European Union (EU) regulation designed to protect the privacy and personal data of individuals within the EU. It applies to organizations worldwide if they process personal data of EU residents.
Organizations must process data lawfully and inform individuals clearly about how their data will be used.
Purpose Limitation
Data must be collected for specific, explicit, and legitimate purposes.
Data Minimization
Only collect and process the minimum amount of personal data necessary for the intended purpose.
Accuracy
Personal data must be kept accurate and up to date.
Storage Limitation
Retain data only for as long as necessary.
Integrity and Confidentiality
Protect data from unauthorized access, processing, or loss.
Accountability
Audit existing data processing activities to identify personal data you collect and how it is used.
Update Privacy Policies
Include clear, specific details about data collection, processing purposes, and individuals’ rights.
Obtain Consent
Ensure consent requests are unambiguous, easy to understand, and separate from other terms and conditions.
Implement Data Security Measures
Use encryption, access controls, and secure storage for personal data.
Enable Data Subject Rights
Develop processes to address rights like access, rectification, erasure, and portability.
Establish Data Breach Procedures
Create a breach response plan and report qualifying breaches to the relevant Data Protection Authority (DPA) within 72 hours.
Appoint a Data Protection Officer (DPO)
While GDPR itself doesn’t involve traditional mathematical formulas, certain scenarios can use logical frameworks to assess compliance. Here are examples:
Retention Period = Purpose Duration + Legal Obligation Period
- Example:
- Retain invoices (containing customer data) for 6 years due to tax regulations.
Valid Consent = Freely Given + Specific + Informed + Unambiguous + Verifiable
- Example:
- A sign-up form must have a clear checkbox for consent and a link to the privacy policy.
Use the Likelihood x Impact = Risk Level formula to prioritize risks.
- Likelihood: 1 (Low) to 5 (High)
- Impact: 1 (Minimal) to 5 (Severe)
- Risk Level:
- 1–5: Acceptable risk
- 6–15: Mitigation required
- 16–25: Immediate action needed
Issue: An online retailer collects customer names, addresses, and payment details during purchases.
Solution:
- Provide a privacy notice at checkout explaining data use.
- Implement SSL encryption for secure payment processing.
- Offer a clear opt-in for marketing communications.
Issue: A company processes employees’ personal data, including health records for sick leave.
Solution:
- Obtain explicit consent for processing health data.
- Limit access to HR staff and secure records in encrypted files.
- Include a data retention policy in the employee handbook.
Issue: A company uses a third-party email marketing service.
Solution:
- Ensure the service provider signs a Data Processing Agreement (DPA) outlining their responsibilities under GDPR.
- Audit the provider’s security measures.
Issue: A laptop containing customer data is stolen.
Solution:
1. Assess the scope of the breach.
2. Notify affected individuals and the DPA within 72 hours.
3. Review and improve security practices to prevent future incidents.
GDPR violations can result in two tiers of fines:
1. Lower Tier: Up to €10 million or 2% of annual global revenue, whichever is higher.
- Example: Failing to maintain accurate records of data processing.
2. Higher Tier: Up to €20 million or 4% of annual global revenue, whichever is higher.
- Example: Failing to comply with data subjects' rights or data breach notification requirements.