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From remote workers’ laptops on home networks to Internet of Things devices, many organizations are dealing with a growing number of devices collecting, processing and transmitting data at the network’s edge. Traditional security strategies are struggling to keep pace, and security operations centers face new challenges in protecting an ever-expanding digital perimeter.
Organizations must adapt their SOC strategies for the influx of edge devices by integrating continuous, real-time monitoring. Edge devices expand the attack surface, making traditional measures inadequate. Look for solutions that offer comprehensive threat intelligence and monitoring, which helps you detect vulnerabilities and compromised credentials promptly, ensure robust security, and minimize risks.
Organizations need to implement decentralized security protocols to monitor and manage edge devices effectively. This involves deploying advanced threat detection and response capabilities at the edge. This step is crucial to ensure timely detection and mitigation of security threats, minimizing potential vulnerabilities in a rapidly expanding attack surface. -With an influx of edge devices, validating the legitimacy of users is critical.
Manufacturing organizations must adopt zero-trust principles to improve their SOC strategies for edge devices. Zero trust authenticates and authorizes devices and users before allowing them to access network resources. This step is essential for safeguarding sensitive manufacturing data, operational integrity and cyberthreats in a highly interconnected world. -
Organizational skills are of utmost importance when dealing with multiple edge devices. Group devices into categories that make sense to you and your team. Review their software and the potential for intrusions, malware, Trojan horses and viral infections. Consider an isolated network for edge devices of lower importance. Above all, ensure devices are current in terms of software updates. -
Incorporating ethical considerations into SOC strategies for managing edge devices is paramount. Organizations must prioritize privacy protection, consent and data transparency when collecting and processing data from these devices. Ensuring fairness and accountability in algorithmic decision-making processes, especially in AI-powered security solutions, is essential for preventing bias and discrimination.
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