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Pick the brains of C-level executives of renowned companies in tech, sharing their stories of innovation and personal growth.
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The Private Stack for Custom AI Agents (Recorded live at AWS Experience Tel Aviv)
Six quick conversations recorded live at AWS Experience Tel Aviv, from a roundtable on deploying AI agents inside the enterprise hosted by GlobalDots with AWS and xpander.ai. Guests include WalkMe CIO Tal Carmi, an AWS Solutions Architect, and an AI agent platform co-founder, talking about security, governance, and where adoption actually stalls. A candid, unscripted listen for anyone rolling out AI agents at work.
Guests:
Tal Carmi, CIO, WalkMe
Doron Bleiberg, GenAI Solutions Architect, AWS
Ido Dagan, Head of Delivery, ChargeAfter
Ran Sheinberg, Co-founder, xpander.ai
Rom Tartakovsky, Account Manager, AWS Startup Team
Yair Zohar, Software Engineer, SnykL
24 Jun 2026
AI Red Teaming Isn't Enough: Shoshana Cox, AI Security Researcher
For years, security teams have relied on testing to validate defenses. With AI systems, that logic breaks.
The reason is mathematical. Every AI model carries what researchers call an adversarial subspace: a set of inputs that will cause it to fail. These spaces are massive, sparsely clustered, and computationally infeasible to search. You cannot enumerate all the attacks. Which means you cannot test for all the attacks. Which means spraying thousands of prompts at a model and blocking the ones that work is not security. It is a demonstration.
Shoshana Cox has been working on AI security since 2010, before generative AI existed. She wrote the first machine learning security operations paper in 2022. She holds a patent in federated AI architecture. She served on the core author team of the OWASP AI Exchange and helped prepare the technical requirements for the EU AI Act. She has spent years watching the industry build products that sell confidence without delivering protection, and she has paid a professional price for saying so publicly.
In this conversation, Shoshana explains what adversarial subspaces actually are and how they form. She walks through attack transferability: how an attacker does not need access to your model to build attacks that work against it. She breaks down why AI monitoring with defined thresholds is how you deploy AI securely. And she makes the case that threat modeling is not optional groundwork. It is the only starting point that makes the rest of the work meaningful.
This is a technical conversation. It does not offer quick fixes. What it offers is a clearer picture of how AI systems actually fail, and what it takes to defend them seriously.
For security architects, CISOs, and anyone responsible for AI deployment decisions.
Guest: Shoshana Cox, AI Security Researcher, OWASP AI Exchange Core Author, and former Red Teamer.
6 May 2026
Security Fails When Developers Don’t Trust It: Jonathan Jaffe, CISO @Lemonade
The problems rarely start with an attacker. They start earlier, in the way teams deploy, approve changes, and share responsibility. Developers don’t ignore security because they don’t care. They ignore it when it doesn’t fit their workflow, when it slows them down, or when the reasoning isn’t clear.
In this episode, we host Jonathan Jaffe, CISO at Lemonade. He explains why most security failures are not about missing tools or advanced threats, but about how ownership, process, and decision-making are structured inside engineering teams.
We talk about:
Why security breaks at the ownership level, not the tool level
How audit-driven controls fail in real environments
What happens when developers stop trusting security decisions
This is not a conversation about buying better tools. It’s about understanding why the tools you already have may not be working as you think they should.
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