OpenAI discloses six model misalignment cases involving handoff instructions, external data transfers and agent coordination, while warning that the sample is not representative.
EBL-Core proposes revalidating action identity, policy, evidence and context when high-risk AI agents exercise execution authority, not only when approval is issued.
Meta's Muse uses a dedicated secure VM and separate Sentinel agent to authorize internet actions, creating a concrete external control boundary for consumer AI agents.
AgentMinder moves enterprise AI agent authorization outside the runtime, making identity, mission provenance and policy context part of the security boundary.
