Agents

Companies that succeed with AI agents aren't just automating tasks—they're rebuilding how work gets done. The difference between adding agents to old workflows versus designing new ones around agent capabilities.

Companies throwing AI agents at problems without oversight. 72% adoption, 75% governance concerns. Smart approach: experiment messy, add controls when agents need to coordinate with each other.

Agent commerce conversation heavy on vision, light on working systems. DeWitt's framework offers a practical middle path—not betting on immature technology but positioning for a customer category that will transact at scale.

Privacy isn't about access control anymore when your AI agent can infer, interpret, and act on patterns you never explicitly shared. The real exposure happens in the inference layer—what the AI concludes and synthesizes based on behavioral patterns.

Box's CTO breaks down agentic security into practical categories that help legal teams think through access controls, action authorization, and manipulation detection for autonomous systems.

I track AI agent development for work, so when I clicked on Cate Hall's TED Talk thinking it might cover autonomous systems, I was caught off guar…

Product teams must architect agent-native security from day one rather than retrofitting traditional controls, implementing runtime monitoring, memory hygiene, and adaptive governance that can evolve alongside autonomous systems to avoid costly reactive security implementations.

"Agent infrastructure: technical systems and shared protocols external to agents that are designed to mediate and influence their interactions with and impacts on their environments."