Data Poisoning is not as easy to catch as you think
Poisoned data can make your headline metrics look better and still have a backdoor , that is what i have documentef in this article
Data Poisoning in the age of Prompt Injection. https://t.co/20pbezlZOE
A great demo doesn't guarantee a closed deal.
Snowfire had 7 enterprise deals stuck waiting on SOC 2 — one of them worth millions.
TaxSey lost a $250K annual contract for the same reason: no SOC 2 report to hand over.
Security isn't just something you fix after the sale anymore. For a growing number of buyers, it's a gate before the sale even happens.
For AI companies specifically, the question buyers are asking has shifted:
Not "do you have security?" — but "can you prove it, in a way our security team will actually sign off on?"
Those are two very different bars to clear.
@armalo_ai regulation's moving faster than most teams' actual capability to classify what's 'high-risk' in the first place. that gap is where this stops being optional what i do helping vendors meet this criteria
@EFadlon17449@iwebst@AnjneyMidha So we thinking Identity management for AI agents?
Logging helps here , also only permissions absolutely required must be given.
Spent my summer working on an inventory forecast system for a warehouse in Tata Steel , learning about ai models used in inventories , tableu and helping the team as and when required.
You add a dependency because it saves you 3 days of work. Months later: — maintainer account gets compromised— malicious update ships — your project silently inherits the fallout Most dependency tools tell you what changed. None of them tell you what it means for your code #AIsec