Deep Instinct Updates Platform with Robust Deep Learning Cybersecurity for Google Chrome OS

New Update Will Be the First AI-Based Cybersecurity Solution for the Chrome Operating System, Available Immediately.

Deep Instinct announces that it has added protection for the Chrome Operating System (Chrome OS) to its updated deep learning cybersecurity solution. With global Chromebook unit shipments slated to nearly double this year to 10.1 million since their release in 2011 (and expected to reach 17 million units in sales by 2023), the Chrome OS is more prevalent in the market than ever before. The new offering makes Deep Instinct the first deep learning-based solution with multi-layer protection across endpoints, servers and mobile devices for Windows, macOS, iOS, Android or Chrome OS from the convenience of a single platform. It also protects against a range of attack vectors that have been known to breach Android systems.

“Millions of people around the world are using Chrome OS and we identified a real market gap here, but thanks to Deep Instinct, there is now a robust solution based on deep learning technology that can protect the platform against attack”

As the first company to apply end-to-end deep learning to cybersecurity, Deep Instinct provides complete protection against attacks, taking a prediction and prevention first approach, followed by detection and response against known and unknown cyber threats. The pre-execution layer includes a deep static analysis that predicts and prevents any malicious application. It can be configured to prevent or detect malicious apps, using different thresholds adapted to meet almost any organization’s needs.

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“The same malware that affects Androids has every chance of compromising Chromebooks. The unfortunate reality is that installing APK’s only from Google’s Play-Store, even with Google Play Protect, is not a sufficient safeguard as there is perpetually new malware being generated that successfully eludes Google,” said Guy Caspi, Deep Instinct CEO and co-founder. “Thanks to our deep learning cybersecurity solution, companies can continue to operate knowing that their assets and systems will be fully protected against any potential threat. Our Chrome OS solution is groundbreaking as it is the first deep learning solution to protect Chromebook devices, and it’s technologically superior to anything available today based on its backbone of deep learning.”

Chrome OS is protected against the following attack vectors:

• Malicious Applications: Android Applications (APK) are scanned to predict and prevent Ransomware, Infostealers, Root Kits, RAT, Worm, Network Redirectors, Botnets, Backdoor, Coin-miners, PUAs and more. In addition, devices are monitored to verify that unwanted ways to install applications (like USB Debugging) are not permitted.

• Exploits: Devices are monitored to verify they have not been exploited. This type of exploitation can contribute to the attacker obtaining better control to hide an attack or to get sensitive information. Devices are monitored for root, and the OS version is monitored to verify the device is up to date and known vulnerabilities that were patched, cannot be later exploited.

• Network Attacks: Devices tend to be connected to wireless networks all the time. Various techniques that can be manipulated to perform malicious attacks on the network are monitored, such as SSL MitM, HOSTS file modification and certificate abuse.

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“Millions of people around the world are using Chrome OS and we identified a real market gap here, but thanks to Deep Instinct, there is now a robust solution based on deep learning technology that can protect the platform against attack,” continued Caspi.

SE Labs’ independent threat prevention evaluation lab recently tested Deep Instinct’s D-Client (v2.2.1.5), noting that it achieved a 100% prevention rate and detected zero false-positives when detecting and blocking cyber threats, including file-based and fileless attacks. The results highlight Deep Instinct’s ability to provide a wide range of detection and threat blocking capabilities. These results are accredited to the company’s proprietary deep neural network architecture, which is revered for its accuracy in detecting and preventing known and unknown malware.

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