AWS describes temporal policies in Amazon Bedrock AgentCore, a mechanism for defining stateful rules that govern how AI agents are authorized. Rather than evaluating each action in isolation, these policies assess authorization based on an agent’s session history.
According to the post, temporal policies can enforce workflow sequencing, help prevent data fabrication, cap financial exposure, and require human approval before high-value actions are executed.
Why it matters
As organizations deploy autonomous agents, controlling what an agent may do across a session becomes a governance concern. Session-aware authorization allows teams to constrain agent behavior over time rather than only at the moment of a single request.
Who should care
Developers and teams building agent-based applications on Amazon Bedrock AgentCore, particularly those handling workflows with financial exposure or actions that warrant human oversight.