encrypted voice call | Breaking Cybersecurity News | The Hacker News

Joining the line with rival chat apps WhatsApp, Viber, Facebook Messenger, and Signal, the Telegram instant messaging service has finally rolled out a much-awaited feature for the new beta versions of its Android app: Voice Calling . And what's interesting? Your calls will be secured by Emojis, and quality will be better using Artificial Intelligence. No doubt the company brought the audio calling feature quite late, but it's likely because of its focus on security — the voice calls on Telegram are by default based on the same end-to-end encryption methods as its Secret Chat mode to help users make secure calls. Unlike Signal or WhatsApp, Telegram does not support end-to-end encryption by default; instead, it offers a 'Secret Chat' mode, which users have to enable manually, to completely secure their chats from prying eyes. However, the voice calling feature in Telegram supports end-to-end encryption by default, enabling users to secure their chats in a way

Good News for Privacy Lovers!! An open source software group Open Whisper Systems has released the first free and Open Source phone call application for iPhone users, which is specifically designed to make secure and encrypted calls. When we talk about the privacy of our messages and voice calls, Open Whisper Systems has usually a very strong track record. Whisper is the company behind the development of RedPhone and TextSecure for Android, providing encrypted calls and texts respectively to users. Moving on to iOS devices , the company decided to produce simplest and easiest interfaces yet. Better known as Signal , a free iOS app designed to enable easy and strongly encrypted voice calls . The Signal application for iPhone is completely compatible with OWS's time-tested and well-known RedPhone . Eventually, Signal will be a combination of both RedPhone and TextSecure in a single Android application , according to a blog post . Signal makes use of end-to-end encrypt

Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change – in a positive or negative direction – as artificial intelligence (AI) takes on a larger role in software development is one of the big uncertainties related to this brave new world. In an era where AI promises to revolutionize how we live and work, the conversation about its security implications cannot be sidelined. As we increasingly rely on AI for tasks ranging from mundane to mission-critical, the question is no longer just, "Can AI  boost cybersecurity ?" (sure!), but also "Can AI  be hacked? " (yes!), "Can one use AI  to hack? " (of course!), and "Will AI  produce secure software ?" (well…). This thought leadership article is about the latter. Cydrill  (a