Securing AI agents with temporal policies in Amazon Bedrock AgentCore
This is mainly relevant if your organisation runs AI agents on Amazon Bedrock — it lets IT and security teams set rules like "this agent can't transfer funds without a human sign-off first," enforced outside the agent's own reasoning so a manipulated or tricked agent can't talk its way around the guardrail. For most SCALA members this is background infrastructure news rather than something you'd use directly.
What changed
Source summary
Amazon Bedrock AgentCore now supports temporal policies — stateful authorisation rules that evaluate an AI agent's tool calls in light of its prior actions within a session, not just in isolation. These policies can enforce workflow sequencing, require a tool argument to match a prior call's output, mandate human approval before privileged actions, and run at the gateway perimeter so they can't be bypassed via prompt injection or code manipulation.
Why it matters to your work
Practical interpretation
This is mainly relevant if your organisation runs AI agents on Amazon Bedrock — it lets IT and security teams set rules like "this agent can't transfer funds without a human sign-off first," enforced outside the agent's own reasoning so a manipulated or tricked agent can't talk its way around the guardrail. For most SCALA members this is background infrastructure news rather than something you'd use directly.
Source & availability
This is a summary of a published provider announcement, with practical context from SCALA’s feed.
Plan, region, workspace and rollout conditions may affect access in Australia. Check the original source for current availability.
aws.amazon.comThis update is primarily for technical teams.