Devvret Rishi
speaker
402 appearances
1 recordings
1 series
first heard Jul 2026
last heard 7 Jul
Devvret Rishi’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
like at an organizational level, should be happening from like a policy standpoint.
So the orchestration layer does a great job of saying something like, agent A needs this information to fulfill its request, so let's go to agent B and kind of go into it.
But I think like that introspection of like, well, should the request be filled, or is the context that's coming in to be able to fill this request actually appropriate for agent A?
That's where I think you need the layer on top.
Correct.
AI has moved so quickly through the enterprise that we certainly see that there's a few different areas that have interest in it, but there's two that I think stand out that are kind of the strongest.
The first is within IT, there's usually an AI platform team.
That AI platform team may have titles like AI enterprise architects or otherwise, and they're thinking about how do they build trust and governance out of the platforms that they're actually enabling organizations and their employees to be able to use.
And so that's like one area.
And then the second area is within security.
Oftentimes, I think within security, there's a few different stakeholders, but maybe within like sec ops, like they're concerned around what are the APHIS, you know, the turn of yesterday was like, might have been like, did an employee accidentally expulsed rates into the data.
And now it's gotten exasperated by the agentic feature.
And so that's the second stakeholder that we see in this roadmap.
There's certainly others that we see like governance risk and compliance tends to be an organization that has like a heavy amount of oversight here as well.
And then we even see like in the CTO or VP engineering organizations, there's a demand for guardrails.
But it's like enterprise IT and AI architects as well as like inside of security and security architects are the two places where we see this as the user.
Yeah.
You know, I think that my point of view actually might feel a little bit different, which is I think that there will be many good solutions for where people build and deploy agents.
And the way that I think people or CEOs kind of framed it is like, you will want a Switzerland-like Gladiator to actually secure and govern the different agents that are actually being built.
You probably won't want like the model company to also be policing the models that it's necessarily opening out.
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