As the workforce becomes increasingly mobile, organizations must adapt their security strategies to account for the enlarged threat surface. While mobility undeniably helps organizations boost productivity, it also creates considerable weaknesses in the IT environment.

How can companies strike a balance between giving employees the 24/7 access they need to perform their jobs and protecting their networks from data thieves looking to exploit mobile vulnerabilities? The solution: A brand new approach to security that enables organizations and their employees to adapt to the constantly evolving mobile threat landscape.

Why You Need More Dynamic Mobile Security

With the proliferation of Internet of Things (IoT) devices, corporate networks are more open to the outside world than ever. While it’s certainly critical to establish and enforce an enterprise-wide security policy, this alone is not sufficient to counter the volume and variety of today’s mobile threats.

A unified endpoint management (UEM) solution should be a foundational piece of that digital strategy. Platforms that harness the power of artificial intelligence (AI) to protect smartphones, digital tablets, laptops, wearable technologies and other connected devices give organizations the visibility they need to secure their mobile environments.

To effectively monitor threats on mobile devices, security teams also need advanced insights into user activity to identify new attack schemes. Mobile threat protection technologies enable organizations to adopt an innovative, dynamic approach to security. In this new field of expertise, precision is the name of the game.

Today’s cutting-edge mobile threat protection solutions use AI engines to process massive volumes of intelligence and generate accurate insights to help analysts defend their mobile networks more efficiently. These systems operate on the philosophy that mobile management and protection are inextricably linked, allowing IT leaders to integrate device, app and content management with strong mobile security. With the ability to monitor for threats and automate compliance, security doesn’t have to come at the expense of the user experience.

Defining Your Mobile Threat Defense Strategy

It may seem like a no-brainer to implement a mobile threat protection solution, but defining the right criteria to move forward can be tricky. Ultimately, the goal is to protect enterprise data that is accessed via mobile devices as dynamically and efficiently as possible. As strange as it sounds, protecting against mobile malware is the easy part.

The challenge is determining the organization’s unique needs and tailoring the security policy to account for these quirks.

When considering an investment in mobile threat detection, security leaders should ask themselves:

  • What are the foundations of mobile threat defense?
  • Which existing security measures are falling short when it comes to countering mobile threats?
  • What value can the organization extract from a mobile threat detection solution?
  • What pitfalls should security teams aim to avoid?

Due to the various data privacy regulations, industry standards and cultural factors affecting each organization, flexibility and customizability are critical criteria when planning a mobile security strategy. The threat landscape is expanding as the workforce embraces mobility, and now is the time to invest in stronger, more dynamic solutions for protecting increasingly connected enterprise networks.

Watch the on-demand webinar: A Unified Solution to Manage and Secure Mobile Devices

More from Artificial Intelligence

SOCs Spend 32% of the Day On Incidents That Pose No Threat

4 min read - When it comes to the first line of defense for any company, its Security Operations Center (SOC) is an essential component. A SOC is a dedicated team of professionals who monitor networks and systems for potential threats, provide analysis of detected issues and take the necessary actions to remediate any risks they uncover. Unfortunately, SOC members spend nearly one-third (32%) of their day investigating incidents that don't actually pose a real threat to the business according to a new report…

4 min read

Machine Learning Applications in the Cybersecurity Space

3 min read - Machine learning is one of the hottest areas in data science. This subset of artificial intelligence allows a system to learn from data and make accurate predictions, identify anomalies or make recommendations using different techniques. Machine learning techniques extract information from vast amounts of data and transform it into valuable business knowledge. While most industries use these techniques, they are especially prominent in the finance, marketing, healthcare, retail and cybersecurity sectors. Machine learning can also address new cyber threats. There…

3 min read

Now Social Engineering Attackers Have AI. Do You? 

4 min read - Everybody in tech is talking about ChatGPT, the AI-based chatbot from Open AI that writes convincing prose and usable code. The trouble is malicious cyber attackers can use generative AI tools like ChatGPT to craft convincing prose and usable code just like everybody else. How does this powerful new category of tools affect the ability of criminals to launch cyberattacks, including social engineering attacks? When Every Social Engineering Attack Uses Perfect English ChatGPT is a public tool based on a…

4 min read

Can Large Language Models Boost Your Security Posture?

4 min read - The threat landscape is expanding, and regulatory requirements are multiplying. For the enterprise, the challenges just to keep up are only mounting. In addition, there’s the cybersecurity skills gap. According to the (ISC)2 2022 Cybersecurity Workforce Study, the global cybersecurity workforce gap has increased by 26.2%, which means 3.4 million more workers are needed to help protect data and prevent threats. Leveraging AI-based tools is unquestionably necessary for modern organizations. But how far can tools like ChatGPT take us with…

4 min read