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La aplicación Signal Private Messenger bloqueada en Rusia por el organismo estatal de control de las comunicaciones: informe

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El organismo estatal de vigilancia de las comunicaciones de Rusia, Roskomnadzor, dijo señalMessenger, una aplicación de mensajería cifrada, ha sido bloqueada en el país por violar leyes relacionadas con operaciones antiterroristas, informó el viernes la agencia de noticias Interfax.

“El acceso a la aplicación de mensajería Signal ha sido bloqueado en relación con una violación de los requisitos de la legislación rusa que deben cumplirse para evitar el uso de aplicaciones de mensajería con fines terroristas y extremistas”, dijo la agencia citada por Interfax.

Antes de que Roskomnadzor anunciara su acción, cientos de usuarios de Signal informaron de una falla en la aplicación de mensajería, una herramienta de comunicación segura utilizada por hasta un millón de rusos para cifrar mensajes y chats.

Los sitios de seguimiento de servicios de Internet mostraron más de 1.500 quejas sobre Signal, la mayoría de ellas de usuarios de Moscú y San Petersburgo. Sin embargo, los usuarios informaron que el servicio funciona normalmente cuando se accede a través de red privada virtual O se utilizan en el modo de omisión de censura incorporado.

Mikhail Klimarev, fundador del canal Four Telecom en la aplicación Telegram, dijo a Reuters: “Esto se refiere específicamente al bloqueo de la aplicación en Rusia y no a un problema técnico por parte de Signal”.

Signal no respondió a una solicitud de comentarios.

Tres personas de Moscú y de la región de Krasnodar dijeron a Reuters que también era imposible registrar una nueva cuenta en Signal sin una red privada virtual. Cuando ingresa un número de teléfono móvil, el servicio muestra un mensaje de “Error del servidor”.

Klimarev dijo que este era el primer intento de bloquear la aplicación Signal en Rusia.

Las autoridades rusas comenzaron a bloquear el acceso a Telegram, una aplicación de mensajería ampliamente utilizada, en 2018. Esta acción provocó la interrupción de varios servicios de terceros, pero tuvo poco impacto en la disponibilidad de Telegram en Rusia.

© Thomson Reuters 2024

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Featured

Apple lanzó silenciosamente un nuevo sistema operativo que pasó casi desapercibido: un sistema operativo sin nombre aparece en el blog Private Cloud Compute a medida que Apple avanza hacia la inteligencia artificial.

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A estas alturas ya estarás familiarizado con la mayoría, si no con toda, la IA, lo siento”.manzana Inteligencia”, artículos anunciados en WWDC 2024 – Pero durante la revelación, la compañía hizo todo lo posible para hablar sobre las medidas que estaba tomando para proteger la privacidad del usuario.

Para respaldar la inteligencia de Apple, Apple introdujo la computación en la nube privada (PCC). Este sistema de inteligencia en la nube amplía los estándares de seguridad y privacidad de Apple para incluir el procesamiento de IA basado en la nube. PCC se asegurará de que los Datos personales del usuario transmitidos a PCC permanezcan inaccesibles para cualquier persona que no sea el Usuario, incluido Apple.

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Featured

LLM services are being hit by hackers looking to sell on private info

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Using cloud-hosted large language models (LLM) can be quite expensive, which is why hackers have apparently begun started stealing, and selling, login credentials to the tools.

Cybersecurity researchers Sysdig Threat Research Team recently spotted one such campaign, dubbing it LLMjacking.

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Business Industry

Android’s Private Space copies Samsung Secure Folder features

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In November 2023, Google released Android 14 QPR2 Beta 1, which brought Private Space, a feature similar to Samsung’s Secure Folder that you find on most smartphones and tablets from the company. Well, Google has now released Android 14 QPR3 Beta 2.1, and it brings a new option to Private Space which Samsung already offers with Secure Folder. Along with that, the new version of the OS brings a new setup flow for Private Space, which gives you more information on how the feature works and what you can do with it, and a new suggestion to make the most out of the new feature. Let’s take a look.

Starting with the new option, which is ‘Lock private space automatically,’ it lets you configure the feature to automatically lock the protected space depending on one of the two sub-options you select in it, which are ‘Every time device locks’ and ‘After 5 minutes of inactivity.’ If you select the first, the feature will lock Private Space immediately after you lock the device, and if you select the second, it will lock Private Space after five minutes of inactivity. Now here’s something very interesting: Secure Folder already offers this feature. So, it looks like Google has taken inspiration from Samsung.

As for the new suggestion, when you are setting up Private Space, the feature now recommends you create a dedicated Google account for using it to “stop data appearing outside private space, such as:” “Synced photos, files, emails, contacts, calendar events, and other data,” “App download history and recommendations,” “Browsing history, bookmarks, and saved passwords,” and “Suggested content related to your activity in private space apps.” This suggestion, as well as the option to automatically lock the protected space further enhances the privacy and security of Private Space.

Lastly, Private Space now offers a revamped setup flow, giving you a better idea of the feature, as you can see in the images above shared by Mishaal Rahman on Android Authority.

Overall, the development of Private Space seems complete, and Google could offer the new feature to the public with Android 15. Fortunately for Samsung users, they don’t have to wait for it as they already have Secure Folder. That being said, it would be interesting to see what Samsung does with Secure Folder once Private Space arrives with Android 15. It could either replace Secure Folder with Private Space or it could disable Private Space and continue offering Secure Folder. We expect Samsung to go with the second option as Secure Folder offers more features than Private Space, at least for now.

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Computers

The NSA Warns That US Adversaries Free to Mine Private Data May Have an AI Edge

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Electrical engineer Gilbert Herrera was appointed research director of the US National Security Agency in late 2021, just as an AI revolution was brewing inside the US tech industry.

The NSA, sometimes jokingly said to stand for No Such Agency, has long hired top math and computer science talent. Its technical leaders have been early and avid users of advanced computing and AI. And yet when Herrera spoke with me by phone about the implications of the latest AI boom from NSA headquarters in Fort Meade, Maryland, it seemed that, like many others, the agency has been stunned by the recent success of the large language models behind ChatGPT and other hit AI products. The conversation has been lightly edited for clarity and length.

Person in a suit smiling in front of the American and National Security Agency flags

Gilbert HerreraCourtesy of National Security Agency

How big of a surprise was the ChatGPT moment to the NSA?

Oh, I thought your first question was going to be “what did the NSA learn from the Ark of the Covenant?” That’s been a recurring one since about 1939. I’d love to tell you, but I can’t.

What I think everybody learned from the ChatGPT moment is that if you throw enough data and enough computing resources at AI, these emergent properties appear.

The NSA really views artificial intelligence as at the frontier of a long history of using automation to perform our missions with computing. AI has long been viewed as ways that we could operate smarter and faster and at scale. And so we’ve been involved in research leading to this moment for well over 20 years.

Large language models have been around long before generative pretrained (GPT) models. But this “ChatGPT moment”—once you could ask it to write a joke, or once you can engage in a conversation—that really differentiates it from other work that we and others have done.

The NSA and its counterparts among US allies have occasionally developed important technologies before anyone else but kept it a secret, like public key cryptography in the 1970s. Did the same thing perhaps happen with large language models?

At the NSA we couldn’t have created these big transformer models, because we could not use the data. We cannot use US citizen’s data. Another thing is the budget. I listened to a podcast where someone shared a Microsoft earnings call, and they said they were spending $10 billion a quarter on platform costs. [The total US intelligence budget in 2023 was $100 billion.]

It really has to be people that have enough money for capital investment that is tens of billions and [who] have access to the kind of data that can produce these emergent properties. And so it really is the hyperscalers [largest cloud companies] and potentially governments that don’t care about personal privacy, don’t have to follow personal privacy laws, and don’t have an issue with stealing data. And I’ll leave it to your imagination as to who that may be.

Doesn’t that put the NSA—and the United States—at a disadvantage in intelligence gathering and processing?

II’ll push back a little bit: It doesn’t put us at a big disadvantage. We kind of need to work around it, and I’ll come to that.

It’s not a huge disadvantage for our responsibility, which is dealing with nation-state targets. If you look at other applications, it may make it more difficult for some of our colleagues that deal with domestic intelligence. But the intelligence community is going to need to find a path to using commercial language models and respecting privacy and personal liberties. [The NSA is prohibited from collecting domestic intelligence, although multiple whistleblowers have warned that it does scoop up US data.]

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Featured

A ‘private jet’ interior: what the Apple Car might have looked like

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An Apple Car was never officially on the way, but a couple of weeks ago we heard that Apple had decided to abandon the project. Now we’ve got a few more details about what the Apple Car was looking like in the early stages of its development.

As per Mark Gurman in his Power On newsletter – usually a reliable source for Apple info – the long-rumored car would have “wowed consumers” and really stood out in terms of its design. Apparently it wasn’t too dissimilar to the Canoo electric SUV.

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