IoT device identity management ensures secure device identification and management in a network. With the rise of IoT devices, it’s essential to manage their identities using a device certificate to protect data and prevent unauthorized access. This article explores the key aspects of IoT device identity management, including its importance, methods, and best practices.

We’re excited to share that 11:11 Systems has once again earned a prestigious 5-Star Rating in the CRN Partner Program Guide—marking our eighth consecutive year! This recognition highlights our commitment to helping partners grow with the right tools, training, and support to navigate today’s complex IT landscape.

On March 24, 2025, ingress-nginx maintainers released fixes for multiple vulnerabilities that could allow threat actors to take over Kubernetes clusters. Ingress is a Kubernetes feature that defines how workload Pods are exposed to the network, while an Ingress Controller implements those rules by configuring the necessary local or cloud resources. According to Kubernetes, ingress-nginx is deployed in over 40% of Kubernetes clusters.

Fraud has moved from an IT issue to a boardroom topic across industries. The more complex the fraud, the bigger the financial, brand, and customer risk. E-commerce fraud, for example, is expected to cost from $44.3 billion in 2024 (when it was last reported) to $107 billion in 2029, a 141% increase. And that’s just one industry. When the stakes are this high, you can’t blindly chase threats.

On March 14, 2025, a critical supply chain attack targeted the widely used GitHub Action tj-actions/changed-files. This action, utilized in over 23,000 repositories, was compromised when attackers injected malicious code, causing CI/CD pipeline secrets to be exposed in GitHub Actions logs. This breach raised serious concerns regarding the security of GitHub Actions and the importance of implementing robust security measures in CI/CD workflows.

The industry treats API security like a checklist—patch a few issues, enforce some rules, and move on. But these risks aren’t isolated flaws; they’re symptoms of a deeper failure in how APIs are designed and secured. Built for speed and interoperability, APIs often expose more than intended, making security an afterthought.

Learn how AI for automation is set to enhance IT processes, boost efficiency, and drive innovation in this comprehensive guide.

In my security research role at Corelight, I often have to go through large, complex data sets to detect subtle anomalies and threats. It reminds me of a famous quote by Abraham Lincoln: Give me six hours to chop down a tree and I will spend the first four sharpening the axe. For me, that means investing time up front to build tools that allow a large language model (LLM) to do the heavy lifting on key tasks, namely those that teams of analysts would have handled in the past.