Plan, Don't Execute: Agentic Workflows in Zero Trust Environments
Read OriginalThis article examines the challenge of implementing AI agentic workflows in high-security, zero-trust environments such as defense, government, and finance. It proposes a solution based on two principles: using local-first AI agents that run on-premise to prevent data leaks, and employing semi-agentic workflows where AI autonomy is carefully constrained to mitigate security risks.
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