EU Joint Research Centre · Space

Emerging Privacy Tech Poses Challenges for Law Enforcement

Privacy-enhancement technologies, while bolstering cybersecurity and public trust, also present significant hurdles for law enforcement agencies seeking to access digital evidence.

A new study by the Joint Research Centre (JRC) and Europol examines how these technologies, including AI, blockchain, and advanced encrypted computing, could impact future investigations. While AI can aid in pattern detection and identifying deepfakes, blockchain's transparent nature can be exploited for illicit financing but also aid in tracing transactions.

Advanced encrypted computing, like fully homomorphic encryption, allows data analysis without exposing sensitive information, opening avenues for privacy-preserving investigations but raising questions about access and permissible searches.

The report highlights the need for Europe to enhance preparedness in areas such as skills, technical capacity, cybersecurity research, and digital forensics to navigate this evolving landscape.

Law enforcement agencies require expertise in technologies like AI, quantum computing, and distributed ledgers, along with access to suitable technical solutions and shared tools.

Quantum technologies pose a dual challenge: quantum computing could break current encryption, while quantum communications offer secure channels, necessitating preparation for post-quantum cryptography and adapted digital-forensic techniques.

The study emphasizes the importance of proactive, collaborative governance of privacy-enhancement technologies, involving policymakers, developers, service providers, researchers, privacy advocates, and law enforcement.

AI-samenvatting op basis van de bron.