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

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or