--- title: What RSA Conference 2026 Told Us About the State of AI Security description: The RSA Conference 2026 highlighted advancements in AI agent security but revealed a critical need for improved data governance and real-time policy enforcement. image: https://blog.dymium.io/hubfs/What%20RSA%20Conference%202026%20Told%20Us%20About%20the%20State%20of%20AI%20Security.png --- [![6808ffad933651ce7b05c1ad_Group 177570](https://blog.dymium.io/hubfs/Dymium_June2025/images/6808ffad933651ce7b05c1ad_Group%20177570.svg "6808ffad933651ce7b05c1ad_Group 177570")](https://dymium.io/) - Platform - [What is Dymium?](https://dymium.io/#platform) - [Architecture](https://dymium.io/#platform) - [How It Works](https://dymium.io/#platform) - [Built for Compliance](https://dymium.io/#platform) - Solutions - Who's It For - [For Data & AI Teams](https://dymium.io/#whositfor) - [For AI & Product Teams](https://dymium.io/#whositfor) - [For Security & Risk Teams](https://dymium.io/#whositfor) - [For Privacy & Compliance](https://dymium.io/#whositfor) - Use Cases - [For Applications](https://dymium.io/#solutions) - [For Agentic AI & GenAI](https://dymium.io/#solutions) - [For Analysts & BI](https://dymium.io/#solutions) - Why Dymium - [Why Dymium](https://dymium.io/#why-dymium) - [How We Stand Apart](https://dymium.io/#How-We-Stand-Apart) - Company - [About Us](https://dymium.io/about) - Resources - [Blog](https://blog.dymium.io/blog) [Request a Demo](https://info.dymium.io/lets-connect) [Request a Demo](https://info.dymium.io/lets-connect) ![What RSA Conference 2026 Told Us About the State of AI Security](https://blog.dymium.io/hubfs/What%20RSA%20Conference%202026%20Told%20Us%20About%20the%20State%20of%20AI%20Security.png) # What RSA Conference 2026 Told Us About the State of AI Security Last week at the RSA Conference, one theme came through loud and clear: the security industry is working hard to get its arms around AI agents. From CrowdStrike's Falcon Data Security to Cisco's DefenseClaw to Microsoft Entra Agent ID, vendors are racing to govern and secure agents. It's a race to discover AI agents, give them identities, monitor their behavior, and shut them down when something goes wrong. It's meaningful progress. But there's a gap that largely went unaddressed - and it's worth talking about. **The industry is building fences around agents. But what about the data itself?** Most of what was announced at RSAC this year follows the same basic logic: find the agent, identify it, watch what it does, and stop it if it misbehaves. That's perimeter security, applied to a new problem. And it works, up to a point. The challenge is that this approach assumes you can enumerate all your agents, that they behave predictably, AND that you can catch problems before real damage is done. The data from the conference tells a different story. According to [TechRepublic](https://www.techrepublic.com/article/news-agentic-ai-governance-rsac-2026-insights/), 63% of organizations can't enforce purpose limitations on their AI agents, and 60% can't terminate a misbehaving one fast enough to matter. What does this point to? You can’t rely on just controlling the agent, you need to control the data as well. **There are clear gaps with data security that the industry needs to solve for including:** **The Bigger Picture** What RSAC 2026 put on full display is that the industry has made real strides on agent identity, discovery, and monitoring. But the industry still lacks - as the pattern across every major announcement last week suggests - a governance model that operates at the data layer. One that doesn't depend on knowing which agents are running, who built them, or whether they've been discovered yet. That's the conversation the industry needs to be having. And based on what we saw last week, it's just getting started. 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