𝗪𝗵𝗲𝗻 𝗮𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝗮𝗸𝗲𝘀 𝗮𝗻 𝗮𝗰𝘁𝗶𝗼𝗻, 𝘄𝗵𝗼 𝘀𝗲𝗲𝘀 𝗶𝘁?
Not the action itself. The chain. What triggered it, what it called, in what order, on what data, with what outcome.

Most organizations can answer that question for their applications. They have logs, owners, audit trails. The infrastructure exists.
What's missing is the same infrastructure applied to agents. Agents that invoke APIs autonomously, chain operations nobody explicitly programmed, and move fast enough that manual analysis isn't a real option after the fact.

𝗧𝗵𝗲 𝘁𝗿𝗮𝗰𝗲𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝘀𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘁𝗿𝗮𝗰𝗲𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗲𝘅𝗽𝗼𝘀𝗲𝘀.

Autonomous doesn't have to mean unobservable.
A well-governed ecosystem makes autonomy readable, not limited. Knowing what the agent can and cannot do, on which systems, with which outcome is what makes that autonomy sustainable over time.

𝗪𝗲 𝘄𝗿𝗼𝘁𝗲 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. 👉 https://lnkd.in/eQvWXaxg

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