TLDRocket
6 August 2026
The day's central tension is automation at scale: as AI agents become genuinely autonomous, the industry is discovering that capability and safety are not self-solving problems. Amazon's new temporal policies for Bedrock AgentCore, expressed in the Dogwood policy language, explicitly target the gap between what an AI agent *can* do and what it *should* do across sequences of actions—not just individual requests. This matters because research from Anthropic shows humans approve 93 percent of permission prompts in real-world Claude Code usage, missing roughly one in three dangerous commands. The infrastructure layer is where guardrails must live, not in human judgment.
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