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Yash Sheth

Yash Sheth

Co-Founder and CTO of Galileo (acquired by Cisco), an AI observability and evaluation platform for LLM applications.

Jul 29, 2026

6:12
You know, are we Is the consumption pattern of tokens for these agents within the boundary conditions that you want to actually have? Or is it actually going out completely in a different stratosphere, which could then create a very, very different economic impact for you? Am I missing anything in that? And then what are the things, how are you folks thinking about how Splunk fits into that entire picture?
6:37
I mean, I think this, Jitu, that these three things literally cover the entire agentic stack.
6:45
We sometimes ignore infrastructure and think that it's commoditized, but as agents are scaling, we are seeing customers hit infrastructure bottlenecks very quickly.
6:58
As we all know, just the networking impact of agents is just 450 times that of a human.
7:05
So our customers are actually asking us for an end-to-end observability across not just the agent behavior, which we talked about in quite depth already with evals and enforcement, but how are the infrastructure components dealing with agents? What network accesses do these agents have? What are the security layers that we can put on? Because without observability, you can't have security.
7:32
And so if you want to run agents, whether it's in a desk-side computer or it's in a server rack or it's in the cloud, without end-to-end observability, we can't enforce the right guardrails around the agentic processes.
7:47
The next thing is, and the final piece is tokenomics, where tokenomics is actually bubbling up quite a bit now as something that's of importance, but we've always tied the end outcome, the ROI of agents to the spend that we're making.

23 MINS LATER

31:16
And that's the attack.
6:12
Are we Is the consumption pattern of tokens for these agents within the boundary conditions that you want to actually have, or is it actually going out completely in a different stratosphere, which could then create a very, very different economic impact for you? Am I missing anything in that? And then what are the things, how are you folks thinking about how Splunk fits into that entire picture?
6:37
I mean, I think there's, Jitu, these three things, you know, literally cover the entire agentic stack.
6:44
You know, we...
6:45
We sometimes ignore infrastructure and think that it's commoditized, but as agents are scaling, we are seeing customers hit infrastructure bottlenecks very quickly.
6:58
As we all know, just the networking impact of agents is just 450 times that of a human.
7:05
So our customers are actually asking us for an end-to-end observability across not just the agent behavior, which we talked about in quite depth already with evals and enforcement, but how are the infrastructure components dealing with agents? What network accesses do these agents have? What are the security layers that we can put on? Because without observability, you can't have security.
7:32
And so if you want to run agents, whether it's in a desk-side computer or it's in a server rack or it's in the cloud, without end-to-end observability, we can't enforce the right guardrails around the agentic processes.

23 MINS LATER

31:16
And that's the attack.

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