How do you verify AI? โ
Great question.
โI would invite us to take a step back
to the fundamentals of the question
we're asking here:
Accountability requires identity.
To manage counterparty risk with AI agents,
we need to be able to have some
accountability mechanism.
That means we need to be able to
identify instances of AI agents
to be able to determine, for example,
whether they're acting on behalf of a party
that's passed KYC with an acceptable provider,
whether they're acting on behalf of a party
who is not on a sanctions list,
or not part of the OFAC address set,
and being able to verify that an agent
is acting on behalf of an individual
who's above a certain age.
This allows us
to deploy much more sophisticated
multi-agent workflows and role sets.
But of course,
first we need to be able to ask that agent,
"Who are you accountable to?
Who are you representing?"
This is also essential in a world
where deep fakes and misrepresentations
of real individuals are rampant.
In fact, I actually had the personal and
very weird experience recently of seeing
a deep fake of myself circulate on this
very platform on X.
Additionally,
my co-founder and colleague has heard
about deep fakes misrepresenting him
joining Google Meet calls and
misrepresenting his person,
his resources, his activities.
So in order to verify who you're interacting with,
especially when it comes to not only
"Are they a human being or not?" but also,
"Are they the real human being?"
this again gets us back to the question of
which identifiers are we using and
how are they accountable back to
organizations and entities
who we know and trust.
But happy to answer
any questions that you have
on the agent identity front.
That's definitely one of the
more frontier capabilities that
we're releasing some awesome stuff
around in the next few weeks.
Source: Billions CEO Evin McMullen @provenauthority
speaking at @HouseofChimera Spaces Event Dec 3, 2025
https://t.co/bqLBNl0rU5
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