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AWS Bedrock feature that applies configurable safety policies, content filters, and prompt-injection detection to generative AI applications and agents.
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The AWS post co-written with HEMA says the structured half of its internal knowledge was already in good shape, and that the procedural half had little written documentation to fall back on.
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A dev.to writeup makes the case for trying Bedrock Agents or AgentCore Runtime before containers, and for putting real limits on the gateway, because a looping agent spends money without ever raising an error.
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Model-level guardrails check the prompt and the response, which leaves the parameters the model just chose for a tool unexamined. AWS's answer is three lifecycle hooks, and the per-turn cost is yours to measure.
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Amazon says you should be able to name every AI agent touching customer data in under a minute. Its own worked example explains why most teams cannot: the record is a file on a laptop.
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AWS has extended Policy in Amazon Bedrock AgentCore to rate limits, prerequisites, ordering and cumulative effects, checked at the gateway rather than requested in a prompt.
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AWS published the architecture behind Fanatics Betting and Gaming's support agents. The binding constraint is not query volume but that Indiana and New Jersey have different correct answers.
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