IT consultant, technology user, tinkerer and sometimes Klingon ; tips [email protected]
United States (National)
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Sean Michael Kerner's coverage predominantly focuses on software and SaaS, with a particular emphasis on AI, cloud computing, networking, cybersecurity, and open source. His articles often include press releases and private sector announcements.
To effectively reach out to Sean for potential coverage or expert commentary opportunities, consider offering insights into the latest trends or developments within the software and SaaS industry. Topics related to artificial intelligence advancements, cloud computing innovations, networking technologies, cybersecurity trends, and open source initiatives are likely to align well with his areas of interest.
Given his focus on press releases and private sector announcements as part of his coverage attributes it would be beneficial to provide newsworthy updates from relevant companies in these sectors when reaching out.
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Tailscale got its start back in 2019 as a VPN provider based on the open-source WireGuard technology. As it turns out, enabling private connectivity in the AI era has a lot of practical utility.
Bots have been a cybersecurity threat for decades, but in the past year, with the advent of advanced AI-driven bots, the threat has grown.
Every organization wants to be cyber resilient, with the ability to withstand attack, maintain operations and reduce risks overall.
By: Sean Michael Kerner
At VMware Explore 2026 , Broadcom detailed what's next for networking in VCF 9.1 as well as how both AI for networking and networking for AI will have an impact. The updates focus on transit gateway flexibility, workload placement across clusters, and physical fabric integration.
With the rise of AI tools for coding, including tools grouped under the category of vibe coding , there has been a corresponding rise in new AI supply chain security threats.
By: Sean Michael Kerner
It is painfully obvious at this point in the AI adoption lifecycle that there is no one model that is ideal for all tasks. That's why model routing has become table stakes.
By: Sean Michael Kerner
Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier model quality in half the time.
By: Sean Michael Kerner
OpenAI's own employees couldn't get fast answers to basic data questions — a gap that persisted until the company built a fix for itself first, then decided to sell it.
By: Sean Michael Kerner
Work on 1.6T began in 2020 and became a formal IEEE study group in 2021, before AI was the industry's dominant discussion point. That work became the IEEE P802.3dj Task Force, which has been building out the specifications that are now in the balloting and formal review process before finalization, which could happen later this year.
