Cyera's Yotam Segev on Securing Enterprise Data for AI | CNBC Fortt Knox
📅 May 28, 2026Cyera11 MIN36 VIEWS14 SEGMENTS · 2 SPEAKERS
Cyera CEO Yotam Segev discusses the rapidly evolving landscape of securing and managing enterprise data in the age of AI.
As businesses accelerate their AI adoption, Segev shares critical insights on balancing innovation with risk management, navigating new threats like agentic AI, and protecting sensitive corporate information.
Learn how Cyera is transitioning from a data security company into a leader for secure AI transformation.
What Yotam Segev said
Written from the verified transcript and checked against it. Every figure links to the moment it was said.
Yotam Segev, CEO of Cyera, discussed the accelerating adoption of AI in enterprises and the corresponding security risks, using the metaphor of inventing a car, speeding it up, and then needing seat belts and airbags. He argued that security must shift from humans protecting humans to agents protecting agents, as AI-driven attackers are faster and can access vast data. Segev noted that Anthropic's Mythos model is just the first chapter in AI disrupting cybersecurity. He highlighted the dangers of advanced models running locally, potentially enabling adversaries like North Korea. Cyera is transforming from a data security company to a secure AI transformation company, responding to urgent customer demand. He mentioned that some organizations have rolled back copilot deployments due to data exposure concerns and cited the CrowdStrike incident as an example of production outages. Segev reported significant revenue and pipeline growth, with leading indicators exceeding expectations by 150%.
Key takeaways
Security must become agentic and AI-driven to defend against AI-powered attackers, as human defenses cannot keep up.
Cyera is repositioning from a data security company to a secure AI transformation company to meet urgent enterprise demand.
Advanced AI models running locally could enable adversaries like North Korea, increasing danger.
Cyera's leading indicators exceeded quarterly expectations by 150%, showing strong market demand.
Numbers and commitments
Figure
What it refers to
Type
At
150%
Leading indicators exceeded quarterly expectations
0:01There's all kinds of challenges around data, managing it, securing it, especially after Anthropic's Mythos model. What are you seeing?
1:04So what are the seat belts? What are the airbags here?
2:23Just security through trying to breach oneself?
4:23So if Mythos today is ahead of the pack in terms of the cyber security vulnerability research capabilities, is it going to be ahead of the pack in a year?
9:42So, so how is this demand affecting your annualized recurring revenue?
Welcome to a Fort Knox update. I'm John Ford here with Yotam Segev, the CEO of Cyera. It's been a while since we talked, but AI is taking off. There's all kinds of challenges around data, managing it, securing it, especially after Anthropic's Mythos model. What are you seeing?
I think AI is coming into the market and really starting to accelerate. The metaphor I have in my head is that first you invent the car, then you make the car go fast, then you start crashing the car a few times when it's at high speed. You realize it's quite dangerous. People can get hurt, injured, and then you invent the seat belt and the airbag and regulate them and make sure that people are doing it securely. So I think when it comes to enterprise AI adoption, we're at that speeding up stage where the car AI is starting to become faster and faster in the enterprise, accumulate more speed and also become a bit more risky and dangerous in that sense.
Seat belts and the airbags are complex, especially since the AI itself is changing almost on a weekly basis here. We're seeing new capabilities, new models, new operating models for how AI is being leveraged in the enterprise. Cyera, from our perspective, leveraging our strength in data and identity, is really looking at how the enterprise uses AI in two different lenses. The first one is the workforce aspect of it. As an employee in the enterprise, what AI tools am I using? How am I working with those AI tools? And how are they changing the way I work and the way that the organization needs to provide security for me? Maybe data that I used to be able to access but never actually did. Now that I have a copilot, I get access to that data almost immediately and suddenly HR information, financial information, my boss's salary and people's HR reviews become much more sensitive information that needs to be protected. In the past it was protected a bit by obscurity. Today you actually have to make sure that these things are configured correctly. Otherwise, people are finding all of these data points across the organization so much easier when it's an agent looking for them and they don't have to do it manually.
I think that the overlaying narrative or the overlaying change in security is that in the past humans protected from humans and in the future agents will have to protect from agents. There's no way at which a human defense system can keep up with an agentic attacker. And that attacker can be external, somebody using AI using agents to infiltrate the enterprise and cause it harm or steal information, but it can also be insiders that are using AI for business purposes. And that AI just operates very differently than what a human would do naturally. It's much faster. It can consume huge quantities of data. It can try to access every and any system that it can. So the game is changing. And we're moving to a world where you have to streamline the defense to become agentic in order to continue to stay ahead of the agents that are being used to get access to the wrong information, to expose wrong information. And that is the macro change we're seeing in cyber security, that cyber security has to become an agentic, AI-driven effort. And I think as part of that, that touches almost every part of the stack. And when we look at Mythos, Mythos is with all of the excitement and all of the interest and all of the fear, it's just the first chapter in the book. This is the first chapter in the book of how AI is going to disrupt cyber security as it's been done historically and how organizations are going to need to change and uplevel and streamline their processes and make them automated and agentic in order to be able to keep up with this much faster threat that is emerging.
I continue to find a lot encouraging in how Mythos has rolled out. We've seen stories over the past especially decade of these enormous breaches into various important institutions and how many customer records were lost. Imagine if Mythos came out and it weren't Anthropic giving access to these essential companies and institutions up front. If it had been some adversary or some hacking collective who had come up with it first, I mean everybody's house would have been looted. This would have been mass theft on a global scale. I think we're very fortunate that all in all it seems like AI is still in the hands of the good guys or at least the cutting edge AI is in the hands of the good guys. I don't know if we can count on that being the case forever and I don't know if what is today let's call it the differentiated AI is going to remain differentiated and not become commoditized. So if Mythos today is ahead of the pack in terms of the cyber security vulnerability research capabilities, is it going to be ahead of the pack in a year? Or is that going to become fully commoditized, available through any model, any system, and thus available not only to the good guys.
7 more exchanges in this transcript
Sign in free to read the rest of this interview. No card required.
Segev, Y. (2026, May 28). Cyera's Yotam Segev on Securing Enterprise Data for AI | CNBC Fortt Knox [Interview transcript]. Cyera. CEOInterviews.AI. https://ceointerviews.ai/interview/945783/
MLA
Yotam Segev. "Cyera's Yotam Segev on Securing Enterprise Data for AI | CNBC Fortt Knox." Cyera, 28 May. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/945783/.
BibTeX
@misc{segev2026_945783,
author = {Yotam Segev},
title = {Cyera's Yotam Segev on Securing Enterprise Data for AI | CNBC Fortt Knox},
howpublished = {Interview transcript, Cyera. CEOInterviews.AI},
year = {2026},
month = {may},
url = {https://ceointerviews.ai/interview/945783/},
note = {Speaker-attributed transcript with timestamps}
}
