This article describes a pattern for implementing "trust-gated delegation" in AWS Bedrock, addressing the gap where CloudTrail logs agent tool calls but not their trustworthiness. It leverages Agent Veil Protocol (AVP) to allow an orchestrator agent to check the reputation and trust tiers of other agents before delegating tasks.
DecisionBench is introduced as a new benchmark for emergent delegation in long-horizon agentic workflows. It includes a fixed task suite, a peer-model pool, and a multi-axis metric suite to evaluate delegation quality and cost.
The title explores the question of whether an AI agent can delegate its own work. This raises discussions about the autonomy and organizational capabilities of artificial intelligence systems.
This article discusses the delegation problem in multi-agent AI, where agents make decisions and access internal systems on a user's behalf. This raises critical security and authorization questions that security teams struggle to answer.
The author describes the transformative experience of delegating coding tasks to background AI agents, which operate autonomously. This marks a significant shift in the nature of software development work, requiring a new approach to what and how to delegate.
This article addresses the critical challenge of permissioning for AI agents, highlighting that capabilities often overshadow necessary constraints. The author introduces "Vouch," a solution designed to provide scoped delegation with session-bound tokens for secure agent interaction with services.
It's crucial for AI agents to have evidence before delegating paid tasks to tools or other skills. Currently, agents rely on limited descriptions and ratings, leading to uninformed choices. New approaches like signed-receipt wire formats and precheck functions are emerging to provide necessary transparency.