AI-Driven Security in the Workplace
With the increase in recent years of mobility in the workplace, whether a remote work setup or hybrid workplace with time spent at home as well as in the office, the ability to secure every endpoint device has been challenging. Security alerts pop up daily for desktop, mobile, and other threats. Frankly, companies can’t just completely lock down all of their employees’ devices. It would significantly hurt company productivity, in addition to being an annoyance. Many employees are already frustrated with the number of measures they are required to implement as a result of increased cyber security safety: two-factor authentication, updating passwords, etc. These measures require time and extra focus, while the employee would rather be working on something else.
Additionally, enterprises have deployed UEM solutions (Unified Endpoint Management) to help secure and manage all endpoints from a central console. While there are numerous UEM solutions available on the market, now Artificial Intelligence has entered this space. How can IT departments secure the myriads of endpoints across their company, ensure their data is protected from threats, all without excessively hindering employee productivity?
AI may be able to help
The market for artificial intelligence (AI) cybersecurity is expected to show significant growth in the coming years. While valued at $24.3 billion in 2023, the AI cybersecurity market is forecast to double by 2026, before reaching nearly $134 billion by 2030 (Statista 2025). As enterprises look for new ways to streamline and get ahead of the curve, it is natural that AI will play a role in future security breakthroughs, and we are already seeing its beginning phases today.
AI can help security teams, especially in smaller companies, analyze and respond to more security alerts, and identify the most critical threats than they are able to without augmentation. Workflows can be implemented that allow an AI system to automatically take steps to address smaller errors, like freezing a device’s access or blocking a malicious domain. This streamlines the human touch that is needed to address a bevy of threats that their team might face. Leveraging AI can also save money, as solving security alerts can take time and be expensive, depending on the consumer impact on the other side of the incident.
If AI does a good job prioritizing and handling the many security alerts that IT teams receive, that will also free up time for the IT staff to worry about more complex issues. They may be able to come up with new strategies or frameworks for “big picture” IT solutions. It can also relieve stress, as employees can start to feel bogged down by the number of requests they receive.
The ideal scenario for IT security teams is preventing cyber-attacks before they happen. This is where AI can also come into play. AI can detect patterns in attacks and threats, using historical incident data. This means AI can start predicting where the next threat may come from and even, in some cases, prevent the security issue before it even begins. This will take the IT safety of the enterprise to a new level, along with saving valuable time and money.
In terms of AI and UEM solutions, AI is starting to play a significant role in these platforms as well. UEM software is being integrated with AI features for better performance:
- Realtime Anomaly Detection – AI algorithms can monitor device behavior continuously and detect unusual activities or potential security breaches in real-time, allowing for immediate intervention and mitigation of threats.
- Adaptive Protection – continuously learning from new threats and adapting its defenses accordingly. This capability ensures that as new types of malware or cyberattacks emerge, the AI systems can evolve to counter them effectively, providing a robust and dynamic defense mechanism.
- Automated Response – AI can automate responses to security incidents, significantly reducing the time it takes to address vulnerabilities and minimizing the impact of attacks.
- Advanced Vulnerability Analysis – proactively identifying risks and vulnerabilities in mobile devices and applications. Organizations can address these issues before they are exploited, thus maintaining a higher security standard.
- Enhanced User Authentication – technologies like facial recognition and behavioral biometrics are being used to improve user authentication processes, making it more difficult for unauthorized users to gain access to devices.
We are only beginning to scratch the surface of what is possible with Artificial Intelligence. As AI continues to advance, we can expect even more sophisticated and effective security solutions, further revolutionizing how we manage and protect mobile devices in the workplace.
With over 20 years in business, OVATION Wireless Management has helped businesses of all sizes manage, procure, secure and support their mobile device populations. Contact us today to learn more about how OVATION can help.
