• null@lemmy.org
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    2 days ago

    This automated system analyzed information across 305 internal servers, rapidly producing 2,597 structured intelligence reports. By automating the data analysis phase, a single operator successfully processed an intelligence volume that would traditionally require an entire team.

    That’s a great ad, not gonna lie.

      • redsand@infosec.pub
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        13 hours ago

        They have lots of use cases for red team. Recon, enumeration, exploit chaining, fuzzing. It doesn’t matter if the error rate is 10-20% a shell is a shell

          • redsand@infosec.pub
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            8 hours ago

            It can help you write the patch. Identify threats in a SIEM or SOAR setup. But I can’t think of much else. Defense has to be correct. If your .htaccess file is 99% correct that’s a problem

      • cowboykermit@sh.itjust.works
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        14 hours ago

        Can see a few people disagree with you

        Does anyone have a good litmus test for when the perspective might shift? TurboQuant making it easier to have larger context windows for local models give me a pinch of hope and I’m really holding out for a decent Open-Weights model I can self host for Home Automation.

        I’m fully aware LLMs are just predictive text on roids and we haven’t achieved real AGI, but do we know of anything that will help us filter through the marketing?

        • Jakeroxs@sh.itjust.works
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          12 hours ago

          You can do it locally now pretty easily depending on your use ass and hardware, huggingface has all the models you’d need and use something like llama-swap

        • Evotech@lemmy.world
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          12 hours ago

          There’s millions of YouTube videos on this subject.

          Qwen3.5 is very capable and you can run it on any hardware you have. Just depends on the model size