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 Apple sent emails to its music industry partners about the upcoming launch of a Made With AI label that Apple will apply to AI-generated content (via The Hollywood Reporter).
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 In iOS 27, new Shared Albums you create in the Photos app retain full-resolution quality for the first time, but they now eat into your iCloud storage - and that includes any items added by other people invited to contribute.
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Before asking ChatGPT about your medical symptoms, learn why relying on AI over a physician exposes your private health data and could cost you more.
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A court has dismissed Google's case against SerpApi over that company's scraping of search results to train AI models.
The US District Court for the Northern District of California found that there was no indication that any copyright had been breached.
Google announced in December that it was suing SerpApI for its alleged web scraping, claiming that it was protecting copyright holders. In February, SerpApI fought back and asked the court to dismiss Google's case. And this week, Judge Yvonne Gonzalez Rogers agreed with SerpApi that Google's case has no merit.
Google's argument was that SerpApi's actions breached the US Digital Millennium Copyright Act (DCMA). It made two claims: first, that no person shall circumvent a technological measure that effectively controls access to a work protected under this title, and second that no person shall manufacture, import, offer to the public, provide, or otherwise traffic in any technology, product, service, device, or component protected by the Act.
SerpApi claimed that the URLs and other links that were being served by Google did not in themselves entail copyright and the judge agreed. In h
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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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