BMS Tech Blog

🎙️Podcast: Easier to Do, Harder to Do Safely Don't forget to subscribe 😀 Picture an ordinary Monday at a small office. The office manager sets up a shared folder in ten minutes, with an AI assistant talking her through each step. A colleague pastes a client document into a free chatbot to get a quick summary. A laptop on someone's desk has been waiting two weeks for a software update that nobody has had time to run. Nothing about the morning feels risky. That is exactly the point. The tools really are better Modern tools and AI let ordinary people do things that once needed a specialist. A small team can set up accounts, fix a printer and learn a new system in an afternoon. That is a good thing, and it is worth doing. Tasks that are easy to undo, affect only a few people and do not touch anyone else's data are well suited to doing yourself. Easy on the surface, complex underneath The screens have become simpler. The systems behind them have not. A single Allow button ...

  🎙️Podcast: GWS Intelligence Helping You Don't forget to subscribe 😀 Think about the last time you tried to answer a simple question at work, something like "Where did we land on the budget?" The answer exists. It's just scattered: a few lines in an email thread, a number in a spreadsheet, a comment in a document, and a chat message from last Tuesday. Most of the work isn't answering the question. It's finding the pieces. That is the problem Google is aiming at with Workspace Intelligence. If you use Gmail, Docs, Drive, or Chat for work, you may have noticed Gemini showing up in more places lately. Workspace Intelligence is the layer behind it. In plain terms, Google describes it as a way for Gemini to understand your work across Workspace, so instead of answering only from the one document in front of you, it can draw on your email, files, calendar, and chats to give an answer that fits what you are actually doing. Google says it only uses what you a...

  🎙️Podcast: Building AI Agent Teams Don't forget to subscribe 😀 A while back I caught myself doing something I never expected to do: handing out work to a team that isn't on any payroll. Each morning I check in on the BMS MDM project, see what my agents posted to the shared board overnight, and decide what needs my attention. It feels less like using software and more like running a small staff. Here is how that came about. At Benchmark Service (BMS), I built BMS MDM, a device management platform for Apple fleets. Keeping a platform like that healthy takes a lot of steady, repetitive work, and a single AI chat window was not the right tool for it. It lost context, blurred priorities, and had me explaining the same things over and over. So I tried something different: an AI agent team. How the Team Works An agent is an AI assistant with one defined role. A team is several of them coordinating through a shared task board. One agent posts what it has done and what should happen...

🎙️Podcast: Apple's Latest OSs Don't forget to subscribe 😀 Apple released iOS 27, iPadOS 27, and macOS 27 on September 14, 2026, as free updates. The release centers on a rebuilt Siri with a dedicated app, plus refinements to the Liquid Glass design, faster performance, and a set of useful changes to Safari, Photos, and parental controls. Here is what is new on each platform and what it means for everyday use. Changes Across All Three Platforms Siri AI. The new Siri draws on personal context from your messages, email, and photos, understands what is on your screen, and can carry out actions across apps. It has its own app with a chat-style interface and conversation history that syncs through iCloud. On iPhone, Siri AI requires an iPhone 15 Pro or newer. Liquid Glass refinements. The design introduced last year gets better contrast and more uniform refraction, and a new slider lets you choose how transparent or tinted it looks. Speed. Apple reports app launches up to 30 per...

The modern digital threat landscape is evolving faster than ever before. For years, organizations and individuals held a comfortable assumption: software updates were routine maintenance, and cybersecurity threats developed at a predictable human pace. That era has officially ended. As artificial intelligence technologies advance, so do the tools used by threat actors. Generative AI and automated vulnerability scanners now allow malicious actors to analyze software code, discover exploits, and craft attack vectors at scale. This escalation in AI-generated and automated threats has triggered a global response from tech giants, security firms, and regulatory bodies worldwide. A defining example of this shift arrived in mid-September 2026, when Apple released a record-setting volume of security patches across its entire ecosystem, including iOS, iPadOS, macOS, watchOS, and device drivers[ cite: 5]. Driven in part by industry disclosure initiatives like the Mythos initiative—which has acce...

🎙️Podcast: Pipeline Threat Don't forget to subscribe 😀 New Threat Reality The threat landscape facing small and medium-sized recruiting firms in Japan has crossed a fundamental threshold. For years, cybersecurity was framed around targeted manual intrusions—expert hackers spending weeks or months probing a specific company’s defenses. Today, the democratizing power of artificial intelligence, paired with state-backed infiltration tactics, has turned cybersecurity into a game of high-volume, automated exploitation. Recruitment agencies are uniquely exposed to this new reality. Operating in a high-trust, high-data-volume environment, recruiters serve as the digital doorway between job candidates, external contractors, and major corporate clients. Understanding this threat requires looking past traditional views of "hacking" to examine how automated tools and pipeline weaponization operate, what a breach actually costs a firm, and where this threat is heading in the near f...