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GOOGLE’S MAKING IT EASIER TO SAFEGUARD SENSITIVE DATA TROVES

DLP leans on Google’s extensive machine learning capabilities—image recognition and machine vision, natural language processing, and context analysis all come into play—to seek out overlooked or unexpected sensitive data and automatically redact it. And while the Data Loss Prevention API can be customized based on specific types of data an administrator wants to catch—like patient information in a medical setting, or credit card numbers in a business—DLP also needs to be comprehensive enough to catch things organizations don’t know they’re looking for.

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HOW ANDROID FOUGHT AN EPIC BOTNET—AND WON

Android security team was feeling pleased with itself. The group had detected, analyzed, and neutralized a sophisticated botnet built on tainted apps that all worked together to power ad and SMS fraud. Dubbed Chamois, the malware family had already cropped up in 2016 and was being distributed both through Google Play and third-party app stores. So the Android team started aggressively flagging and helping to uninstall Chamois until they were sure it was dead.

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