Enterprise AI Security Explained: Tools, Agents, and Access Control

Lee and Rich break down one of the biggest conversations in AI right now: security. They unpack what businesses should actually worry about when deploying AI, from model training concerns to permissions, data exposure, and the risks that show up as teams move from simple AI tools to more autonomous agents.

They also dig into the difference between AI tools and AI agents, why that distinction matters, and how enterprises should think about zero trust access, internal governance, vector stores, API connections, and accidental data sharing. The big takeaway is simple: AI itself is not usually the problem. Human behavior, weak processes, and unclear guardrails are where real security issues begin.

If your company is exploring AI adoption, building internal agents, or trying to create a safer rollout strategy, this episode will help you think through the right questions. Subscribe for more practical AI conversations, and check the links below for more resources and related content.

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