As part of CRN’s Edge Computing 100 for 2025, here are 25 security vendors working to protect users and data across IT, OT and IoT environments. As edge AI becomes more predominant, the attack surface ...

In this executive Q&A, Hailo’s Danya Golan explains how edge-based AI is advancing real-time video analytics, enhancing privacy and reshaping security deployments across sectors like retail and ...

Forbes contributors publish independent expert analyses and insights. Davey Winder is a veteran cybersecurity writer, hacker and analyst. This voice experience is generated by AI. Learn more. This ...

Edge deployments of AI refer to the practice of deploying AI models and algorithms on edge devices, or local servers, rather than relying on cloud-based processing. This approach brings AI ...

Edge AI is driving faster, smarter security responses by processing video and sensor data on-site, reducing latency and improving real-time threat detection. Vendors like Actuate, Alcatraz and Ambient ...

Deploying AI at the edge brings advantages such as low latency, improved efficiency, and real-time decision-making. It also introduces new attack surfaces. Adversaries could intercept models in ...

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It can be tough to secure traditional cloud workloads. But workloads at the network edge face additional security challenges, such as a larger attack surface and elevated risk of physical security ...

Microsoft Edge web browser has been displaying security warnings after Twitter changed its name to 'X'. Amid its rapid rebranding over the last few days, Twitter (or X) has also ditched the famed bird ...

Edge computing environments should be tailored to meet diverse needs and use cases. They should also be subject to governance controls that align with consistent organizational standards.

As part of CRN’s Edge Computing 100 for 2024, here are 25 security vendors working to secure the new perimeter for today’s businesses. As a greater proportion of computing continues to shift to the ...