Google Strengthens Android User Experience And Security With AI
JAKARTA Google says that the Artificial Intelligence (AI) technology they develop continues to evolve. This is done to develop user experience (UX) and Android user security.
In the operating system (OS), Google makes periodic improvements with the AI approach. This integrated development with Android applications and features is felt by users around the world, including in Indonesia.
Google Indonesia's Head of Android Platforms and Ecosystems Denny Galant said that the entire Google AI ecosystem is designed in one unit, from cloud to single devices. All of these components can be felt on Android OS.
This ecosystem includes OS, a built-in application from Google, to special AI assistants such as Gemini Nano running on-device. This means that the chatbot is embedded in the device and can be run without the need for an internet network.
This AI technology is designed for end users with two focuses, namely helpful and safety. In presenting these two things on Android, Google uses a layered security approach and is certainly free for all users.
"Our AI is not divided (one ecosystem), starting from the cloud, even in one device. This is all one unit, in devices starting from Android OS which operates the system as its own platform, applications, and friends. these are assistants," said Denny when met on Tuesday, October 21.
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This enhanced protection is felt on Android 15 and later, namely Android 16. The example of proactive protection available is Google Play Protect. This feature protects billions of devices and scans hundreds of billions of applications every day.
Other advanced security features include increasing Spam and Phishing Protection which is getting smarter on Android devices. There is also Anti-Theft Protection on Android 16 which uses on-device AI to detect unusual movements and immediately remote lockdowns.
All of these features ensure that user data and Android devices are strongly protected. This includes Find Hub and trackable cross-platform features that are strengthened in detecting hidden trackers around users.