Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
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Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#2It's become clear that the first and most important and most valuable agent, or team of agents, to build is the one that responsibly and diligently lays out the opsec framework for whatever other system you're trying to automate.
A meta-security AI framework, cursor for opsec, would be the best, most valuable general purpose AI tool any company could build, imo. Everything from journalism to law to coding would immediately benefit, and it'd provide invaluable data for post training, reducing the overall problematic behaviors in the underlying models.
Move fast and break things is a lot more valuable if you have a red team mechanism that scales with the product. Who knows how many facepalm level failures like this are out there?
Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#3I am one of the engineers that had to suffer through countless screenshots and forms to get these because they show that you are compliant and safe. While the real impactful things are ignored
Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#4Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#5Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#6They should have given you some money.
Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#7[flagged]
Re: Reverse engineering a $1B Legal AI tool exposed 100k+ confidential files
#8[flagged]
First, as an organization, do all this cybersecurity theatre, and then create an MCP/LLM wormhole that bypasses it all.
All because non-technical folks wave their hands about AI and not understanding the most fundamental reality about LLM software being fundamentally so different than all the software before it that it becomes an unavoidable black hole.
I'm also a little pleased I used two space analogies, something I can't expect LLMs to do because they have to go large with their language or go home.