Google announces Sec-Gemini v1 a new experimental cybersecurity model
security.googleblog.com
Google announces Sec-Gemini v1 a new experimental cybersecurity model
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Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#2Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#3Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#4I remain still skeptical about LLMs in this space, although I might be proven wrong, as often happens. Nevertheless, OSV has already been a big advance, so it is great that it gets a further commitment.
Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#5Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#6Could be great for augmenting a cybersec professional's tasks; I'm certainly interested in trying it. However, I fear it will not be used as just one of the tools in the toolbox, and rather it will be used as something to defer (and consequently shed liability) to.
Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#7Could be great for augmenting a cybersec professional's tasks; I'm certainly interested in trying it. However, I fear it will not be used as just one of the tools in the toolbox, and rather it will be used as something to defer (and consequently shed liability) to.
Has anybody been able to shed liability to AI yet?
In the corporate day-to-day? Absolutely.
Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#8Could be great for augmenting a cybersec professional's tasks; I'm certainly interested in trying it. However, I fear it will not be used as just one of the tools in the toolbox, and rather it will be used as something to defer (and consequently shed liability) to.
Has anybody been able to shed liability to AI yet?
Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#9From the description re data integrations it sounds like the latter, unless the data mentioned is in fact used for training.
The distinction is important because a security-tuned model will have different limitations and uses than an actual pre-build security LLM app. Being an app also makes benchmarking against other "models" less straightforward.
Re: Google announces Sec-Gemini v1 a new experimental cybersecurity model
#10I always have the feeling that I'm chatting with a model oriented towards engineering tasks. The seriousness, lack of interest of being humorous or cool.
I don't know if this is because I interact with Gemini only through AI Studio, and it may have different system instructions (apart from those one can add oneself, which I never do) than the one at gemini.google.com.
I never use gemini.google.com because of the lack of a simple export feature. And it's not even possible to save one chat to disk (well, neither do the others), I just wish it did.
AI Studio saving to Google Drive is really useful. I lets you download the chat, strip it of verbose things like the thinking process, and reuse it in a new chat.
I wish gemini.google.com had a "Save as Markdown" per answer and for the complete chat (with a toggle to include/exclude the thinking process). Then it would be a no brainer for me.
It's the same as if Google Docs would not have an "Download.." menu entry but you could only "save" the documents via Takeout.