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WhatsApp Adds New Privacy Feature To Lock Sensitive Chats
The new setting lets users add conversations to biometrically locked folders and hide them from notifications.
WhatsApp has announced a new feature via its blog called “Chat Lock” that allows users to make their conversations more private. The tool can lock any conversation, placing it in a specialized folder accessible via fingerprint or face scanning biometrics or by entering a regular password. In addition, the new feature also hides references to locked chats from notification feeds.
To lock an existing conversation, users simply need to tap on the title of a person or group chat and select the lock option. When you want to read a locked chat, you’ll need to use your device’s biometric scanner to unlock it, or else enter a password.
WhatsApp notes that the feature is useful for keeping a chat private when “someone else is holding your phone at the exact moment an extra special chat arrives” and advises that the entire app can also be locked using biometric security.
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WhatsApp owners Meta have been upgrading the platform for some time now, in a bid to convince users of the app’s safety as more and more people turn to rivals such as Signal and Telegram. Meta recently upgraded WhatsApp’s verification system to deter hackers and has added additional features, including disappearing messages.
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Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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