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Machine Learning Boosts Mobile App Security Tool

Zimperium is using machine learning to improve mobile app security.

The Dallas-based mobile threat defense specialist recently announced an update of its zIAP software development kit (SDK) to provide in-app protection that gets smarter as it learns.

Zimperium and other vendors are increasingly turning to cutting-edge and emerging AI technologies to arm themselves against bad actors as the enterprise app space is facing ever-more-sophisticated attack vectors.

The company said the SDK form factor allows for up-to-date security via mobile app updates, while also claiming the in-app functionality avoids delays and limitations that can come in cloud-based solutions.

The machine learning capabilities are supplied by the product's z9 engine that goes to work whenever an app is activated by a user.

"z9 analyzes billions of data points from millions of devices to identify malicious behavior, and then creates sophisticated math models to enable on-device detection, allowing it to identify all attacks -- even those that have never been seen before," the company said. "In fact, z9 has detected every mobile exploit over the last five years, on-device and without requiring updates."

The SDK lets developers protect their apps against threats such as OS exploits, network attacks and malware, Zimperium said, while also fighting fraud and helping organizations keep their apps in compliance with regulations like HIPPA, PCI, GDPR and so on.

More information on the latest version of zIAP -- available for trial -- can be found in this blog post.

About the Author

David Ramel is the editor of Visual Studio Magazine.

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