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#airgap — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #airgap, aggregated by home.social.

  1. @miffyhelen my freezer even has artificial intelligence written on the front. Maybe time to dust off my sad server song.
    Ain't respondin' to the tune of Ain't misbehavin'
    #airgap #internetOfThings

  2. Air gaps don't stop sound.

    USAT (Ultrasonic Sub-Audible Trojan) — acoustic covert channel operating at 17–22kHz, inaudible, cross-device, no physical access required.

    Full research: researchgate.net/publication/404012350

    #infosec #redteam #airgap #sidechannel #acoustics #research

  3. Air gaps don't stop sound.

    USAT (Ultrasonic Sub-Audible Trojan) — acoustic covert channel operating at 17–22kHz, inaudible, cross-device, no physical access required.

    Full research: researchgate.net/publication/404012350

    #infosec #redteam #airgap #sidechannel #acoustics #research

  4. Air gaps don't stop sound.

    USAT (Ultrasonic Sub-Audible Trojan) — acoustic covert channel operating at 17–22kHz, inaudible, cross-device, no physical access required.

    Full research: researchgate.net/publication/404012350

    #infosec #redteam #airgap #sidechannel #acoustics #research

  5. Air gaps don't stop sound.

    USAT (Ultrasonic Sub-Audible Trojan) — acoustic covert channel operating at 17–22kHz, inaudible, cross-device, no physical access required.

    Full research: researchgate.net/publication/404012350

    #infosec #redteam #airgap #sidechannel #acoustics #research

  6. Air gaps don't stop sound.

    USAT (Ultrasonic Sub-Audible Trojan) — acoustic covert channel operating at 17–22kHz, inaudible, cross-device, no physical access required.

    Full research: researchgate.net/publication/404012350

    #infosec #redteam #airgap #sidechannel #acoustics #research

  7. Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных. Ну или один из…

    Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных В 2025 году мировые потери от киберпреступности, по оценкам отраслевых аналитиков, превысили один триллион долларов США — "это ж сколько стран можно было прокормить?!". В подавляющем большинстве случаев речь идёт об атаках программ-вымогателей. И в каждом таком инциденте рано или поздно возникает один и тот же вопрос: существует ли копия данных, до которой злоумышленник не сможет добраться?

    habr.com/ru/articles/1020432/

    #ленточные_библиотеки #ленты #холодный_кошелёк #программавымогатель #airgap #воздушный_зазор #технологии_хранения_данных #картриджи #аппаратная_архитектура #хранение_данных

  8. Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных. Ну или один из…

    Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных В 2025 году мировые потери от киберпреступности, по оценкам отраслевых аналитиков, превысили один триллион долларов США — "это ж сколько стран можно было прокормить?!". В подавляющем большинстве случаев речь идёт об атаках программ-вымогателей. И в каждом таком инциденте рано или поздно возникает один и тот же вопрос: существует ли копия данных, до которой злоумышленник не сможет добраться?

    habr.com/ru/articles/1020432/

    #ленточные_библиотеки #ленты #холодный_кошелёк #программавымогатель #airgap #воздушный_зазор #технологии_хранения_данных #картриджи #аппаратная_архитектура #хранение_данных

  9. Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных. Ну или один из…

    Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных В 2025 году мировые потери от киберпреступности, по оценкам отраслевых аналитиков, превысили один триллион долларов США — "это ж сколько стран можно было прокормить?!". В подавляющем большинстве случаев речь идёт об атаках программ-вымогателей. И в каждом таком инциденте рано или поздно возникает один и тот же вопрос: существует ли копия данных, до которой злоумышленник не сможет добраться?

    habr.com/ru/articles/1020432/

    #ленточные_библиотеки #ленты #холодный_кошелёк #программавымогатель #airgap #воздушный_зазор #технологии_хранения_данных #картриджи #аппаратная_архитектура #хранение_данных

  10. Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных. Ну или один из…

    Последний рубеж: почему ленточная библиотека — это самый надёжный «холодный кошелёк» для данных В 2025 году мировые потери от киберпреступности, по оценкам отраслевых аналитиков, превысили один триллион долларов США — "это ж сколько стран можно было прокормить?!". В подавляющем большинстве случаев речь идёт об атаках программ-вымогателей. И в каждом таком инциденте рано или поздно возникает один и тот же вопрос: существует ли копия данных, до которой злоумышленник не сможет добраться?

    habr.com/ru/articles/1020432/

    #ленточные_библиотеки #ленты #холодный_кошелёк #программавымогатель #airgap #воздушный_зазор #технологии_хранения_данных #картриджи #аппаратная_архитектура #хранение_данных

  11. Anyone running local AI or storing private data should stick to an air-gapped system. Why?

    Corporations & governments harvest enormous amounts of data to predict your behavior.

    For local updates, I still advise what I told companies 25+ years ago:
    Use USB drives for one-way updates only. Never reuse them, destroy after a single use. Modern research shows even USBs can carry spyware, so treat each drive as potentially contaminated & enforce strict, one-time procedures.

    #airgap #cybersecurity

  12. If you're interested in the current state of global #infrastructure #security, just take a look at @vncresolver

    Spoiler: We're fucked. What the hell happened to #airgap?

  13. @mayahustle Attacks against infrastructure in general are worrying. We definitely do not need anyone deploying "Stuxnet V2" or similar against national infrastructure.

    This is why some things need to remain off-line. Not every needs to be connected.

    #airgap #malware #infosec

  14. In case anyone wants to run their own #LLM on their personal devices, I can suggest #lmstudio It allows you to download any major model that's out there to your own laptop/desktop, and then you can use it's Graphical Interface to interact with it in a familiar interface environment, as you would #Claude or #ChatGPT or #Gemini. It will also let you know if your device has enough resources (power) to run a specific model variant: lmstudio.ai/

    For those of you who love the Terminal (aka: Command Line Interface or #CLI), check out ollama.com/

    For starters, I suggest the #gemma3n model (works great on tablets, laptops, or phones), or #llama3.1 for the most common interactions. While most of us geeks will have very powerful personal systems, or servers in our home racks, most people do not have high-end systems/devices. The gemma3n model is lightweight, very powerful, and a solid general purpose LLM.

    What's the benefit of running LLM's locally? #Privacy is a big one (it's running on your local machine, not a cloud server) - so you can ask it questions against sensitive business data, PHI/PII, etc.. You can also run it #offline (no Internet connection required) so if you wanted to #airgap your interactions, or play with it on vacation (on a plane, lost in the back country, etc.), you can absolutely do that - even with the Deepseek model.

    I started playing with both LM Studio and ollama myself - been asking models basic questions like "what is the capital of Italy" and also more complex questions like "write me a #powershell script to add users of a specific OU to a number of Security Groups within AD" and so far, it's been very accurate. The PowerShell script llama3.1 provided worked out of the box (after I revised variables to match my environment).

    #AIForward #AI #AiResearch #FunWithAI

  15. In case anyone wants to run their own #LLM on their personal devices, I can suggest #lmstudio It allows you to download any major model that's out there to your own laptop/desktop, and then you can use it's Graphical Interface to interact with it in a familiar interface environment, as you would #Claude or #ChatGPT or #Gemini. It will also let you know if your device has enough resources (power) to run a specific model variant: lmstudio.ai/

    For those of you who love the Terminal (aka: Command Line Interface or #CLI), check out ollama.com/

    For starters, I suggest the #gemma3n model (works great on tablets, laptops, or phones), or #llama3.1 for the most common interactions. While most of us geeks will have very powerful personal systems, or servers in our home racks, most people do not have high-end systems/devices. The gemma3n model is lightweight, very powerful, and a solid general purpose LLM.

    What's the benefit of running LLM's locally? #Privacy is a big one (it's running on your local machine, not a cloud server) - so you can ask it questions against sensitive business data, PHI/PII, etc.. You can also run it #offline (no Internet connection required) so if you wanted to #airgap your interactions, or play with it on vacation (on a plane, lost in the back country, etc.), you can absolutely do that - even with the Deepseek model.

    I started playing with both LM Studio and ollama myself - been asking models basic questions like "what is the capital of Italy" and also more complex questions like "write me a #powershell script to add users of a specific OU to a number of Security Groups within AD" and so far, it's been very accurate. The PowerShell script llama3.1 provided worked out of the box (after I revised variables to match my environment).

    #AIForward #AI #AiResearch #FunWithAI

  16. In case anyone wants to run their own #LLM on their personal devices, I can suggest #lmstudio It allows you to download any major model that's out there to your own laptop/desktop, and then you can use it's Graphical Interface to interact with it in a familiar interface environment, as you would #Claude or #ChatGPT or #Gemini. It will also let you know if your device has enough resources (power) to run a specific model variant: lmstudio.ai/

    For those of you who love the Terminal (aka: Command Line Interface or #CLI), check out ollama.com/

    For starters, I suggest the #gemma3n model (works great on tablets, laptops, or phones), or #llama3.1 for the most common interactions. While most of us geeks will have very powerful personal systems, or servers in our home racks, most people do not have high-end systems/devices. The gemma3n model is lightweight, very powerful, and a solid general purpose LLM.

    What's the benefit of running LLM's locally? #Privacy is a big one (it's running on your local machine, not a cloud server) - so you can ask it questions against sensitive business data, PHI/PII, etc.. You can also run it #offline (no Internet connection required) so if you wanted to #airgap your interactions, or play with it on vacation (on a plane, lost in the back country, etc.), you can absolutely do that - even with the Deepseek model.

    I started playing with both LM Studio and ollama myself - been asking models basic questions like "what is the capital of Italy" and also more complex questions like "write me a #powershell script to add users of a specific OU to a number of Security Groups within AD" and so far, it's been very accurate. The PowerShell script llama3.1 provided worked out of the box (after I revised variables to match my environment).

    #AIForward #AI #AiResearch #FunWithAI

  17. In case anyone wants to run their own #LLM on their personal devices, I can suggest #lmstudio It allows you to download any major model that's out there to your own laptop/desktop, and then you can use it's Graphical Interface to interact with it in a familiar interface environment, as you would #Claude or #ChatGPT or #Gemini. It will also let you know if your device has enough resources (power) to run a specific model variant: lmstudio.ai/

    For those of you who love the Terminal (aka: Command Line Interface or #CLI), check out ollama.com/

    For starters, I suggest the #gemma3n model (works great on tablets, laptops, or phones), or #llama3.1 for the most common interactions. While most of us geeks will have very powerful personal systems, or servers in our home racks, most people do not have high-end systems/devices. The gemma3n model is lightweight, very powerful, and a solid general purpose LLM.

    What's the benefit of running LLM's locally? #Privacy is a big one (it's running on your local machine, not a cloud server) - so you can ask it questions against sensitive business data, PHI/PII, etc.. You can also run it #offline (no Internet connection required) so if you wanted to #airgap your interactions, or play with it on vacation (on a plane, lost in the back country, etc.), you can absolutely do that - even with the Deepseek model.

    I started playing with both LM Studio and ollama myself - been asking models basic questions like "what is the capital of Italy" and also more complex questions like "write me a #powershell script to add users of a specific OU to a number of Security Groups within AD" and so far, it's been very accurate. The PowerShell script llama3.1 provided worked out of the box (after I revised variables to match my environment).

    #AIForward #AI #AiResearch #FunWithAI

  18. In case anyone wants to run their own #LLM on their personal devices, I can suggest #lmstudio It allows you to download any major model that's out there to your own laptop/desktop, and then you can use it's Graphical Interface to interact with it in a familiar interface environment, as you would #Claude or #ChatGPT or #Gemini. It will also let you know if your device has enough resources (power) to run a specific model variant: lmstudio.ai/

    For those of you who love the Terminal (aka: Command Line Interface or #CLI), check out ollama.com/

    For starters, I suggest the #gemma3n model (works great on tablets, laptops, or phones), or #llama3.1 for the most common interactions. While most of us geeks will have very powerful personal systems, or servers in our home racks, most people do not have high-end systems/devices. The gemma3n model is lightweight, very powerful, and a solid general purpose LLM.

    What's the benefit of running LLM's locally? #Privacy is a big one (it's running on your local machine, not a cloud server) - so you can ask it questions against sensitive business data, PHI/PII, etc.. You can also run it #offline (no Internet connection required) so if you wanted to #airgap your interactions, or play with it on vacation (on a plane, lost in the back country, etc.), you can absolutely do that - even with the Deepseek model.

    I started playing with both LM Studio and ollama myself - been asking models basic questions like "what is the capital of Italy" and also more complex questions like "write me a #powershell script to add users of a specific OU to a number of Security Groups within AD" and so far, it's been very accurate. The PowerShell script llama3.1 provided worked out of the box (after I revised variables to match my environment).

    #AIForward #AI #AiResearch #FunWithAI

  19. 🚨 New Episode Drop!

    Your smartwatch could be leaking data from air-gapped systems — using sound you can’t hear.

    In our latest Neuro Sec Ops, we uncover SmartAttack, the covert cyberattack that turns wearables into spies.

    🎧 Listen now: open.spotify.com/episode/1kdzH

    #CyberSecurity #Infosec #Smartwatch #AI #NeuroSecOps #AirGap

  20. Vor 84 Jahren – am 11. Mai 1941 – hat Konrad #Zuse in Zusammenarbeit mit Helmut #Schreyer die #Z3 vollendet, den ersten funktionsfähigen, frei programmierbaren Rechner der Welt. Perfekt umgesetzt: #AirGap by Design, #ZeroTrust durch Einzelzugriff, keine Cloud, kein Netzwerk, kein Admin-Account. 🙂

  21. About to get a discarded old laptop from a friend.
    Will clean it out and install Linux Mint, install things like KeePass, GPG, LibreOffie, Veracrypt, Markdown editor etc, and keep it air gapped.

    Looking forward to the weekend after getting it.

    #linux #airgap

  22. For secure data backup, here’s how to do the 3-2-1 rule right

    "The venerable 3-2-1 rule for backing up data remains a tried-and-true method for ensuring the integrity of copied data that is essential to disaster recovery efforts, but it has to be done properly."

    W. Curtis Preston

    networkworld.com/article/96838

    #321rule #airgap #backup #dataprotection #datarecovery #sysadmin #selfhosting

  23. @percepticon
    #Airgap is complete rubbish if you allow USB sticks. 🤦‍♂️

  24. @HonkHase
    #Airgap, but USB sticks allowed?
    Outright ridiculous! 🤦‍♂️

  25. You Can Actually Use a Chromebook Offline. Here's How - The always-online laptop doesn't really have to always be online. - wired.com/story/how-to-use-a-c #gear/howtoandadvice #airgap #gear

  26. Photoresistors Provide Air Gap Data Transfer, Slowly - One of the simplest ways of keeping a computer system secure is by using an air ga... - hackaday.com/2024/03/19/photor #securityhacks #optoisolation #photoresistor #airgap

  27. Photoresistors Provide Air Gap Data Transfer, Slowly - One of the simplest ways of keeping a computer system secure is by using an air ga... - hackaday.com/2024/03/19/photor #securityhacks #optoisolation #photoresistor #airgap

  28. Photoresistors Provide Air Gap Data Transfer, Slowly - One of the simplest ways of keeping a computer system secure is by using an air ga... - hackaday.com/2024/03/19/photor #securityhacks #optoisolation #photoresistor #airgap

  29. Photoresistors Provide Air Gap Data Transfer, Slowly - One of the simplest ways of keeping a computer system secure is by using an air ga... - hackaday.com/2024/03/19/photor #securityhacks #optoisolation #photoresistor #airgap

  30. Photoresistors Provide Air Gap Data Transfer, Slowly - One of the simplest ways of keeping a computer system secure is by using an air ga... - hackaday.com/2024/03/19/photor #securityhacks #optoisolation #photoresistor #airgap