Kevin Rubin
speaker
156 appearances
1 recordings
1 series
first heard Jun 2026
last heard 7 Jun
Kevin Rubin’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 Jun 2026 with 1.
Appearances
And then we get to learn and be able to apply those learnings to our customers and prospects so that we can provide the best cybersecurity for them and their environments.
And so being a participant has obviously been very important for us and we have a great relationship with the Frontier Model companies.
So one of the areas of opportunity that we've seen for a bit of time is the fact that we sit on an incredible amount of high-fidelity, rich, security-oriented data.
We process a half a trillion transactions a day through the Zero Trust Exchange, orders of magnitude greater than even Google searches in a given day to kind of put a context to how much volume of traffic goes through our security cloud each and every day.
And we believe we have a unique position to provide our customers with an understanding and a perspective and a context around that data that is unique to us as a vendor.
The rationale behind Red Canary was they had a decade plus experience doing detection and response.
They had taken that experience and established dozens of agents that were being able to scale that experience across a wide population of data.
And if we could pair that with our rich data set, that does provide a very unique set of information and insights to our customers.
And that was the ultimate approach and philosophy.
Red Canary, after evaluating
a variety of vendors in the space surfaced as the right partner for us in being able to integrate their technology into what we will ultimately launch in the near term, which is our integrated SecOps solution.
The goal is to migrate legacy Red Canary customers into this new integrated solution as well as offer it to existing customers, and we think it's a very differentiated opportunity to provide that insight.
So it's a little bit of both if we're being completely candid.
I mean, we're at early innings as an industry around AI.
We have seen significant productivity using AI in areas like engineering and product development.
We've seen significant benefits in customer support and
some of the other areas that early successes have been realized by others as well.
So those are real tangible benefits that we have been seeing and taking advantage of.
Our approach internally to AI is not human or AI.
It's really human and AI, right?
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