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Managing Cyberthreats for Enterprise Mobility With AI and Other Methods

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Managing Cyberthreats for Enterprise Mobility With AI and Other Methods

In this article, we take a look at some of the more common exploits that affect mobile devices, and what security professionals and devs can do about it.

· Security Zone ·
Free Resource

Mobile is increasingly becoming a part of every consumers’ identity, but the increasing use of this digital channel is escalating the security risks faced by consumers and institutions.

Sources of Potential Threats

Enterprise Mobility devices must be protected against known threats. There are different classes of these threats, which are covered below, that continue to threaten the current mobile securities.

  • Network Exploits: This is the most basic classification of the most frequently occurring threats. Network threats come into play by leveraging suspicious connections to and from mobile devices which are serving organizations by facilitating mobility solutions.

  • Operating Systems Manipulation: OS manipulations represent a type of cyberattack that disrupts system libraries through known vulnerabilities.

  • Malware Vulnerabilities: Malware vulnerabilities come into play when the mobile applications from the unknown sources are trusted and run in the system. Due to the availability of the various mobility applications, the probability of the existence of malware is high. Often, malware-detecting software fails to trace malware because the advanced malware is designed to bypass the signature-based protection.

To rescue mobile devices from such threats, it is necessary to identify them in the earlier stages of development. Real-time detection is quite useful but requires rather constant monitoring, the adjusting security policies, and the pooling of security data for reporting.

Artificial Intelligence: A Trending Solution for Potential Threats

AI is known for its speed and accuracy, especially in the context of mobile security. It scans and analyzes a wide range of relevant data to discover both emerging and existing risks. This gives security professionals and developers time to prepare for and mitigate the risk. 

Other Methods to Make EMM Secure

AI provides the most secure environment for enterprise mobility devices. Being in the initial phase, some organizations still feel a bit uneasy with AI, while some have employed the technology and reaped the benefits. There are other methods that can make EM devices equally secure.

  1. Leverage Could Technology: Leveraging cloud technology to house crucial data or services which can be utilized directly is the best option for enterprises. Cloud technology is the best reservoir for data that should not be kept on employees' devices. Thus, the cloud prevents physical machines from getting hacked through processes such as bypassing the signature-based protection.

  2. Leverage a Unified Platform: Unified platforms can manage different technologies by using different operating systems to meet emerging requirements and to manage an entire enterprise ecosystem. With the unified platform, enterprises can effectively respond to potential EM threats.

  3. Make Device Authentication Mandatory: To control the device accessibility from hackers and unauthorized users, it is necessary to draw a line. Organizations change their policies that deal with access to devices and make authentication more centralized. Such rigorous changes not only help maintain data privacy but also helps to increase data security and minimize the risk of vulnerabilities.

Explore the authentication advancements that are designed to secure accounts and payments—without overburdening consumers with a friction-laden experience.

Topics:
enterprise mobility ,malware ,security ,mobile security ,ai and security

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