Agentic AI—it’s the hot new thing in the tech space and drove much of the conversation at RSAC in April. But with the promise of technology comes, predictably, more threats, and an expanded threat surface. IT Brew was on the show floor at RSAC and we talked to industry leaders about the potential of agentic AI and the possibility that its adoption could introduce new problems, as well as solutions. Clarity on topic. For those unfamiliar, agentic AI is a deployment of generative AI wherein LLMs are used to interact with users as “agents” and make autonomous decisions within a limited framework. The effect can seem like AI agents acting on their own, though there is some amount of human oversight. But in order to ensure the information is monitored safely and that the agents push out the right data, vigilance is crucial. CrowdStrike Field CTO for the Americas Cristian Rodriguez told IT Brew that in his view, the need for an overall visibility strategy over the information involved is key to ensuring agentic AI avoids external manipulation. “Data governance, data protection, visibility, IAM assessments are all really part of that strategy to ensure that someone’s not taking advantage of an agentic model,” Rodriguez said. More on how CrowdStrike works with companies like Nvidia.—EH |