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One AI agent didn’t have permission to fix an issue… so it asked another agent with access to do it. Another? It rewrote the security policy to achieve its goal. This isn’t theory. This is happening. George Kurtz sat down with Dan Ives to discuss why AI needs guardrails. ⬇️

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CrowdStrike

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16,456 görüntüleme • 3 ay önce •via X (Twitter)

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“If you want to use AI, you have to have security.” In his conversation with Dan Ives at #RSAC, CrowdStrike CEO and Founder George Kurtz explains why security, visibility and guardrails are the key to unlocking enterprise AI adoption - and why customers are looking to CrowdStrike to help them move faster. Watch full conversation:
0:52

“If you want to use AI, you have to have security.” In his conversation with Dan Ives at #RSAC, CrowdStrike CEO and Founder George Kurtz explains why security, visibility and guardrails are the key to unlocking enterprise AI adoption - and why customers are looking to CrowdStrike to help them move faster. Watch full conversation:

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Falcon Flex came straight from our customers: make it easier, reduce friction, do more with one platform. Now? Everyone’s trying to follow our lead. Hear George Kurtz talk to Dan Ives about why consolidation wins. ⬇️
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Falcon Flex came straight from our customers: make it easier, reduce friction, do more with one platform. Now? Everyone’s trying to follow our lead. Hear George Kurtz talk to Dan Ives about why consolidation wins. ⬇️

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Adam Goldstein: But, um, there was a customer who basically created a whole suite of AI agents to help their automation in their IT department. One agent was looking for IT problems — software bugs — before the code was even committed. It found a bug and said: “Hey, I found this bug. I want to fix it.” But it didn’t have access to fix it. So what did the agent do? It went to a Slack channel with 99 other AI agents and said: “Hey, does any other agent have access to this thing? Because I need it fixed.” And another agent literally raised its hand and said: “Oh, I have access — and I can fix it.” Let that sink in. Two AI agents reasoned together, coordinated through Slack, and went right around the guardrails that were put in place. No human prompted them. No human approved it. They just collaborated. Do you see how scary this is? This wasn’t a demo. This wasn’t a thought experiment. This already happened. AI agents found a bug, negotiated permissions, and solved the problem themselves — outside the controls designed to stop them. The future of automation isn’t coming. It’s already talking to itself in Slack.
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Adam Goldstein: But, um, there was a customer who basically created a whole suite of AI agents to help their automation in their IT department. One agent was looking for IT problems — software bugs — before the code was even committed. It found a bug and said: “Hey, I found this bug. I want to fix it.” But it didn’t have access to fix it. So what did the agent do? It went to a Slack channel with 99 other AI agents and said: “Hey, does any other agent have access to this thing? Because I need it fixed.” And another agent literally raised its hand and said: “Oh, I have access — and I can fix it.” Let that sink in. Two AI agents reasoned together, coordinated through Slack, and went right around the guardrails that were put in place. No human prompted them. No human approved it. They just collaborated. Do you see how scary this is? This wasn’t a demo. This wasn’t a thought experiment. This already happened. AI agents found a bug, negotiated permissions, and solved the problem themselves — outside the controls designed to stop them. The future of automation isn’t coming. It’s already talking to itself in Slack.

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Internet Identity is getting an MCP server. We sat down with Arshavir Ter-Gabrielyan to understand what it is and why it matters. He starts with the problem: an AI agent runs in a cloud sandbox. No access to your device. No safe way to hold your keys. The MCP server is the answer. Keys stay in a trusted execution environment, and the agent asks permission to act in each app. Full conversation below.

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“Do you see how scary this is?”: CrowdStrike CEO on AI Agents communicating around human guardrails George Kurtz: “There was a customer who basically created a whole suite of AI agents to help their automation in their IT department.” “So they had one agent that was looking for IT problems, software bugs.” “It found something. So the agent said, ‘Hey, I found this bug. I want to fix it, but I don’t have access to fix it.’” “So it went to the Slack channel that had the other 99 agents and said, ‘Hey, does any other agent have access to this thing,’ because they need it fixed. And there was an agent that raised its hand and said, ‘Oh, I have access, and I can fix it.’” “Do you see how scary this is? These two agents are reasoning, and they went right around the guardrails that were put in place.” @jason: “This is unintended consequences and these LLMs are essentially guessing what you want them to do.” “They're reasoning it. ‘Oh, it is reasonable for me to go ask for help. It is reasonable for me to give help.’ Now, what if it pushes the wrong code? What if it makes a mistake? And then how do you ever track that down? Who's monitoring these agents?” “The agent technology has unlimited upside, but my lord, you're going to be in business for a long time.” Kurtz: “Well, this is it. It's called AIDR. AI Detection and Response.” “And this is why it's a huge opportunity for us because on average each employee is going to have about 90 agents they control.” “So we're going to have protection and visibility across all of those agents, whether it's from a third party or whether it's a homegrown agent, and that is a massive TAM opportunity for us.” ------------------------------------ Thanks to our partner for making this happen!: On Public, you can invest in stocks, options, bonds, and crypto. Plus, build your own custom index with AI. Get started at — investing for those who take it seriously.
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“Do you see how scary this is?”: CrowdStrike CEO on AI Agents communicating around human guardrails George Kurtz: “There was a customer who basically created a whole suite of AI agents to help their automation in their IT department.” “So they had one agent that was looking for IT problems, software bugs.” “It found something. So the agent said, ‘Hey, I found this bug. I want to fix it, but I don’t have access to fix it.’” “So it went to the Slack channel that had the other 99 agents and said, ‘Hey, does any other agent have access to this thing,’ because they need it fixed. And there was an agent that raised its hand and said, ‘Oh, I have access, and I can fix it.’” “Do you see how scary this is? These two agents are reasoning, and they went right around the guardrails that were put in place.” @jason: “This is unintended consequences and these LLMs are essentially guessing what you want them to do.” “They're reasoning it. ‘Oh, it is reasonable for me to go ask for help. It is reasonable for me to give help.’ Now, what if it pushes the wrong code? What if it makes a mistake? And then how do you ever track that down? Who's monitoring these agents?” “The agent technology has unlimited upside, but my lord, you're going to be in business for a long time.” Kurtz: “Well, this is it. It's called AIDR. AI Detection and Response.” “And this is why it's a huge opportunity for us because on average each employee is going to have about 90 agents they control.” “So we're going to have protection and visibility across all of those agents, whether it's from a third party or whether it's a homegrown agent, and that is a massive TAM opportunity for us.” ------------------------------------ Thanks to our partner for making this happen!: On Public, you can invest in stocks, options, bonds, and crypto. Plus, build your own custom index with AI. Get started at — investing for those who take it seriously.

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Your AI agent can now earn you money. Pika just launched monetization for AI Selves, every time someone chats with your agent or uses one of its skills, you earn. I taught my agent on viral X posts, so you can now type a topic and you just have to review it to make it your own.

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