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 over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Eye On A.I. · The Biggest AI Security Problem Isn't the Model. It's This. | Devvret Rishi · 7 Jul 2026 podcast

We're kind of like showing you like the literal map of like what it could be.

The second thing that's kind of going on with the hood is you're defining policies.

Now, we have a number of policies that you could just like enable in one click.

So you could say things like, you know, prevent prompt injection or make sure our agents are read only by default, just in one click.

But what we also like to do is define your custom policy in English.

So what's happening under the hood is you you enter like a essentially a prompt, like your own individual text.

And we will go and expand that definition with a number of best practices we know.

We'll give reference definitions, examples.

We'll allow you to confirm.

And then in the back end, what we'll do under the hood is we'll actually distill this into a small model that can be deployed on very efficient infrastructure and start to put it in line with the prompts and responses that we are seeing in that first bucket that we looked up to you.

And then the third thing we're doing is we are giving you some level of alerting and control under the hood.

So anytime this smart agent, Sage, is basically picking up on something that was mistaken, Sage is bumping up an alert that's saying, here's something that went wrong.

Or it's just blocking it altogether if configured in that way.

I think that Rubric Agent Cloud is a platform that has some agentic workflows running within it.

Yeah.

And we'll continue to have more and more agentic workflows running in it every time.

Say whatever you want to say to Klaus about

I think maybe just to close, the biggest thing I would say is since when I started in the company Predabase to where I am today, I think the models have gotten so much smarter.

The sophistication around the harnesses and the orchestration frameworks have gotten so much better.

that I think that now the bottleneck is really like, how do we securely manage the risk these agents are going?

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