
Yash Sheth
Co-Founder and CTO of Galileo (acquired by Cisco), an AI observability and evaluation platform for LLM applications.
2
APPEARANCES
2
PODCASTS
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Jul 29, 2026
10. Observability in the Age of AI with Jeetu Patel, Atin Sanyal, and Yash Sheth
6:12
6:37
6:45
6:58
7:05
7:32
7:47
Jeetu PatelHOST
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?

Yash ShethGUEST
I mean, I think this, Jitu, that these three things literally cover the entire agentic stack.

Yash ShethGUEST
We sometimes ignore infrastructure and think that it's commoditized, but as agents are scaling, we are seeing customers hit infrastructure bottlenecks very quickly.

Yash ShethGUEST
As we all know, just the networking impact of agents is just 450 times that of a human.

Yash ShethGUEST
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.

Yash ShethGUEST
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.

Yash ShethGUEST
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
10. Observability in the Age of AI with Jeetu Patel, Atin Sanyal, and Yash Sheth
6:12
6:37
6:45
6:58
7:05
7:32
Jeetu PatelHOST
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?

Yash ShethGUEST
I mean, I think there's, Jitu, these three things, you know, literally cover the entire agentic stack.

Yash ShethGUEST
We sometimes ignore infrastructure and think that it's commoditized, but as agents are scaling, we are seeing customers hit infrastructure bottlenecks very quickly.

Yash ShethGUEST
As we all know, just the networking impact of agents is just 450 times that of a human.

Yash ShethGUEST
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.

Yash ShethGUEST
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
