CORRECTING and REPLACING Zimperium Launches Latest Version of Machine Learning-Based Security for Mobile Apps

Newest Version of zIAP Embeds Enterprise-Grade Security into Existing Apps

Please replace the release dated 7 November 2018, with the following corrected version due to multiple revisions.

.@ZIMPERIUM announced the availability of the latest version of zIAP, its #machinelearning-based mobile #security solution.

 

Zimperium, the global leader in mobile threat defense (MTD),  announced the availability of the latest version of zIAP, Zimperium’s industry-leading, machine learning-based mobile security solution developed specifically to embed into existing mobile apps.

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Organizations who build mobile apps frequently struggle with how to successfully meet the critical need to protect sensitive data, reduce fraud and ensure security for mobile users in today’s increasingly sophisticated cyber-risk landscape. The zIAP solution meets this need through its delivery in a software developer’s kit (SDK) format which leverages Zimperium’s machine learning technology to detect and stop cyberattacks whenever the app is accessed by end users.

zIAP is the only solution that delivers enterprise-grade security via a mobile application update, successfully allowing organizations to protect themselves and their mobile apps’ end users against operating system (OS) exploits, network attacks and malware. By using zIAP, organizations can have more visibility than ever before into what threats their apps are facing after they are deployed on customers’ devices. In addition, zIAP ensures organizations can keep their apps in compliance with regulations like HIPPA, PCI, GDPR and others.

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Zimperium’s zIAP is powered by its patented z9 engine, which delivers on-device, machine learning-based detection to protect mobile applications and data at machine speed, without the delays and limitations of cloud-based solutions. 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. In fact, z9 has detected every mobile exploit over the last five years, on-device and without requiring updates.

“We are seeing an increasing trend in the application development community to embed advanced mobile security,” said Ron Huda, chief executive officer, 3^rd Eye Technologies. “With Zimperium, we know that any app we’re developing even apps for use by government agencies is equipped with the most sophisticated machine learning technology available, with research to back it up.”

“The mobile environment is fragmented with various OSs, browsers and hardware. It is evolving and presents new vulnerabilities and threats distinct from the Web app environment,” according to Dionisio Zumerle, sr director and Ayal Tirosh, sr principal analyst at Gartner. “App developers lack mobile expertise as well as a general understanding of the risks associated with mobile, and tend to directly transplant traditional application development practices to mobile. Their focus is on functionality, not security.”¹

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