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Automating Trust: Secure Firmware Lifecycle Management

The Importance of Secure Firmware Management Edge computing and IoT are growing fast. Firmware security is now more critical than ever. Firmware controls hardware and runs below the operating system. If compromised, attackers gain deep,... Read More

Published July 28, 2025,

by Michael Wilson

Automating Trust A Guide to Secure Firmware Lifecycle Management In the world of Edge & IoT, a compromise in firmware grants attackers persistent, low-level control. Securing the entire firmware lifecycle—from development to incident response—is not just a best practice, it's a strategic necessity.

Edge Device Security Threat Matrix and Mitigation Strategies

As edge computing continues to expand across industries, from smart cities and healthcare to manufacturing and logistics, the security of edge devices has become a critical concern. These devices, often deployed in remote or uncontrolled... Read More

Published July 28, 2025,

by Michael Wilson

Edge Device Security Threat Matrix Navigating the Risks at the Edge of Your Network As edge computing expands, the security of devices in remote, uncontrolled environments is a critical concern. Unlike traditional data centers, edge devices face a broader range of physical and digital threats. This matrix outlines common threat vectors, their associated risks, and effective mitigation strategies to help build a resilient edge security posture.

Fortifying Edge Data Centers

Edge computing has emerged as a transformative force, bringing data processing closer to where it’s generated. This shift enhances speed and efficiency but also introduces a dramatically expanded attack surface. With billions of IoT and... Read More

Published July 28, 2025,

by Michael Wilson

Understanding the Attack Surface on Edge Data Centers The attack surface in an edge computing environment is vast and multifaceted. It extends far beyond the traditional network perimeter and encompasses every layer of the technology stack.

How AI is Transforming Data Center Management

Nlyte Placement and Optimization with AI Managing a data center today means making intelligent, data-driven decisions that drive performance, optimize costs, and enhance business agility. Nlyte Placement and Optimization AI empowers teams with advanced tools that bring... Read More

Published July 25, 2025,

by Lindsay Hanna

Blue data center image with an outline of a brain and AI written in the middle of the image.

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Featured Posts

How AI is Transforming DCIM for Modern Data Centers

Modern data centers are growing rapidly. As companies expand their digital infrastructure to support cloud services, edge computing, and AI workloads, managing these environments becomes more complex. Traditional Data Center Infrastructure Management (DCIM) tools, once used mainly for monitoring, are now evolving. Today, artificial intelligence (AI) is at the heart of this transformation.

Data Center Asset Management in IDCM

Data Center Asset Management in IDCM Strategy Data centers are dynamic ecosystems that power business operations, cloud services, and digital transformation. As organizations strive for greater efficiency, uptime, and agility, the need for integrated management…

Achieving Edge Data Center Uptime with Resiliency

Achieving Edge Data Center Uptime with Resiliency As edge computing becomes a cornerstone of digital infrastructure, ensuring high availability across a distributed network of edge data centers is more critical than ever. These facilities often…

The DCIM Payback: Justifying Your Investment

Data Center Infrastructure Management (DCIM) software bridges the gap between IT and facilities, transforming data centers from cost centers into optimized, value-generating assets. While the initial investment is a key consideration, the returns generated through…