Surveillance without state Trojans: How authorities read WhatsApp and Signal

Monitoring of messenger accounts such as WhatsApp and Signal by authorities is a controversial topic that raises both legal and ethical issues. While many countries are trying to find a balance between security and privacy, in some cases, authorities use official web features to monitor communications. These methods are often controversial because they can violate the basic principles of encryption and user privacy. The use of encryption technologies such as end-to-end encryption implemented by WhatsApp and Signal is designed to make third-party monitoring more difficult. Nevertheless, there are reports that authorities can gain access to encrypted communications data in certain cases, for example through cooperation with providers or through special devices that are integrated into the infrastructure.

The legal basis for such surveillance measures varies by country and is often the subject of debate. In some cases, surveillance under the guise of national security or counter-terrorism is justified. At the same time, however, concerns are raised that such measures could affect the fundamental rights of users. The EU, for example, has strict rules on data retention and privacy protection that severely restrict surveillance by government agencies. In other countries, on the other hand, surveillance of communications data is used more frequently, often without sufficient transparency or legal certainty.

In addition to monitoring Messenger accounts, other aspects of digital communication are also discussed. AI technologies play an increasingly important role here, both in surveillance and security. For example, the US Department of Justice has supported the use of copyrighted texts by AI companies under fair use, enabling a new form of data use and processing. At the same time, studies show how easily protection mechanisms of AI models can be circumvented if the evaluation system has errors. This highlights the need to design AI systems not only technically, but also ethically.

Medical AI research also emphasizes the importance of patient perspectives. One study showed that the perspective of patients is neglected in many medical AI studies, which can affect the acceptance and effectiveness of such systems. This shows that technological innovations are only successful if they respond to user needs. At the same time, it shows that the security and privacy of users are often neglected in many areas of technology.

## What this means for users The messenger infrastructure in xynap offers a more secure and privacy alternative that can prevent such government surveillance measures.