US senate prohibits employees of WhatsApp use

The US House of Representatives prohibits its employees using WhatsApp on service equipment. The messenger is considered a security risk due to a lack of data protection transparency. Meta contradicts and refers to end-to-end encryption.

Security concerns lead to WhatsApp bans

The Chief Administrative Officer (CAO) of the US House of Representatives imposed a ban on the WhatsApp messenger app on all service units of the congress employees on Monday. The measure aims to better protect the data of the employees. This is of course a bad news for WhatsApp providers Meta, because you are put on the level of Tiktok, for example. The CAO has already issued similar restrictions on other apps such as Deepseek and Bytedance applications, but also Microsoft’s Copilot. The use of chatt was also heavily regulated – only the paid plus version may be used here.

Lack of transparency as the main criticism

In an email to the employees, the office for cyber security justifies the decision with “lack of transparency when protecting user data, lack of encryption stored data and potential security risks”. The instruction is clear: WhatsApp must neither be downloaded nor installed on service equipment – whether on mobile devices, desktops or as a browser version. How Axios reports, the ban concerns both the main app and the business version of WhatsApp.

Meta, the mother company of WhatsApp, contradicts this assessment “strongest”, as corporate spokesman Andy Stone explained. He emphasized that WhatsApp was in the end of the end to end-to-end and thus offer a higher level of safety than most apps approved by the CAO. As an alternative to WhatsApp, the CAO recommends using Microsoft Teams, Wickr, Signal as well as Apple’s iMessage and Facetime.

In addition, the employees are warned of possible phishing attempts and messages by unknown numbers. Despite the end-to-end encryption, which was introduced in 2016, there are criticisms: Whatsapp collects extensive metadata such as contact lists, usage times and device information. This data can allow conclusions to be drawn about communication patterns and social networks, even if the news content remains encrypted.