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Flock Safety's automated license plate-reading cameras, used by thousands of law enforcement agencies in the U.S., have drawn intense criticism from civil liberties groups.
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Chinese smartphone makers have been followers in the global market, embracing the concepts and paradigms set in the past 20 years by Apple and Google. But AI may be giving the Chinese an opportunity to break away and set their own path forward.
Specifically, Chinese companies are integrating AI more fully into smartphones, and also using AI for limited robotics in phones. Here's what you need to know about these emerging trends.
China's ZTE recently showed its Nubia NaviX Ultra. The phone runs ByteDance's Doubao AI agent, which users can access with voice commands or by pressing a button on the phone. The phone has no home screen and no conventional app store.
Another Chinese company, called StepFun — it was founded in 2023 by Jiang Daxin, a former Microsoft vice president and chief scientist at Microsoft's Software Technology Center Asia — sells a phone called the StepX Neo. It runs a proprietary operating system called Step AOS based on Android, Linux, and an RTOS containing a built-in AI agent called Step Amoo. The StepX Neo splits phone functions into four primitives (communication, apps, files, system tools) that the agent recombines based on the stated goals of the user.
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It's been 17 years and counting since Nemertes first wrote about the logic of integrating event response in the enterprise: bringing together the security operations center (SOC) and network operations center (NOC) at the organizational, operational, and technological levels. Needless to say, this has not happened at most organizations, although there has been a promising trend toward convergence in the monitoring and data management side of things. It's worth revisiting the issue.
Why converge?
The arguments for convergence remain pretty compelling:
Both the NOC and SOC are focused on keeping an eye on the systems and services comprising the IT environment; spotting and understanding anomalies; and spotting and responding to events and incidents that could affect or are affecting services to the business.
Both are focused on minimizing the effects of events and incidents on the business.
The streams of data they watch overlap hugely.
They often use the same systems (e.g. Splunk) in managing and exploring that data.
Both are focused on root-cause analysis based on those data streams.
Both adopt a tiered response approach, with first-line responders for "business as usual" operations and occurrences, and anywhere from one to three tiers of escalation to more senior engineers, architects, and analysts.
Most crucially: When something unusual happens in or to the environment (that router is acting funny), it can be very hard to know up front whether it is fundamentally a network issue (that router is acting funny - it has been misconfigured) or a security issue (that router is acting funny - it has been compromised) or both (that router is acting funny - it has been misconfigured and is now a serious vulnerability). Having fully separate NOC and SOC can mean duplicative work as both teams pick something up and examine it. It can mean ping-ponging inciden
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