Draft guidelines on data processing in the blockchain
The Draft Guidelines provide an overview of blockchain technology and its implications for the processing of personal data. They also address the unique challenges posed by the blockchain’s distributed nature for compliance with the GDPR. The EDPB explains in detail how various concepts of data protection law apply to blockchain, including:
- Determining the controller-processor roles of the parties involved in the blockchain;
- The legal bases of processing (outlining challenges of obtaining compliant consents or relying on the legitimate interest processing ground);
- Ensuring the data protection by design and by default approach to blockchain, which is likely to require a combination of different privacy enhancing technologies (PETs) to provide sufficient levels of data protection;
- Establishing and properly documenting the retention periods (pointing out that a retention period for personal data in a blockchain that is equal to the lifetime of the blockchain will require justification of the necessity and proportionality to the purpose);
- Carrying out a data protection impact assessment for blockchain projects, including the measures that could be taken to address the risks stemming from the use of blockchain technology;
- Implementing security measures (e.g., the safeguards against unintended or unauthorized transactions, measures to limit the impact of potential algorithm failures, protections for the secret keys and the data stored on and off chain, and documenting software changes or protocols used in the blockchain);
- Addressing data subject rights in respect of information on the blockchain, such as the rights to rectification, erasure, and objection to a solely automated decision-making.
An annex to the Draft Guidelines formulates 16 recommendations to organizations planning to set up blockchain-based processing. The Draft Guidelines are open for consultation until June 9 2025.
Report on AI privacy risks & mitigations large language models
The Report provides insights into the background of large language models (LLMs) and aims to assist providers and deployers of AI with identifying, evaluating and mitigating the privacy and data protection risks associated with LLMs. The Report includes various examples and use cases.
The Report includes numerous examples considering the roles of the parties under the AI Act (e.g. provider or deployer) and under the GDPR (controller, processor, or joint controller). The Report was commissioned by the EDPB through the external pool of experts so does not reflect the official position of the EDPB.
The press release about the Draft Guidelines and the Draft Guidelines are both available. The press release about the Report, the Report and the plenary agenda is available.
