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English(EN) 🤖 Securing AI agents with temporal policies in Amazon Bedrock AgentCore Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluat

Amazon Bedrock AgentCore 新增时间策略以保护 AI 代理

Amazon Bedrock AgentCore 推出了时间策略,以增强 AI 代理的安全性。这些有状态规则根据代理的会话历史记录评估其操作,解决了先前无状态访问控制的局限性。时间策略在 AgentCore Gateway 上运行,可防止代理规避安全措施,并能够强制执行工作流排序、数据完整性、累积财务风险敞口限制以及对敏感操作的人工审批。 AI

影响 通过引入有状态授权来增强 AI 代理的安全性,有可能降低与自主操作相关的风险。

排序理由 这是云 AI 服务中特定功能的更新,而非前沿模型发布或重大的行业范围事件。

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Amazon Bedrock AgentCore 新增时间策略以保护 AI 代理

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这是云 AI 服务中特定功能的更新,而非前沿模型发布或重大的行业范围事件。
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报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Sean Eichenberger ·

    使用 Amazon Bedrock AgentCore 中的时间策略保护 AI 代理

    Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencing, prevent data fabrication, cap financial exposure, and require human approval for high-value actio…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 Amazon Bedrock AgentCore 中的安全 AI 代理,通过时间策略实现 时间策略让您定义可评估的有状态规则

    🤖 Securing AI agents with temporal policies in Amazon Bedrock AgentCore Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencing, prevent data f... 📰 Sourc…