Topic starter
24/07/2026 4:09 pm
TL;DR: Multi-agent systems create a trust gap at handoff points, where downstream agents cannot reliably verify whether instructions came from a legitimate peer or a compromised orchestrator, according to Noma Security. The missing control is not just least privilege for tasks, but verifiable delegation, because trust assumptions collapse when agents act through chains rather than direct human authorization.
Editorial analysis by NHI Mgmt Group, based on content published by Noma Security: “That’s a Great Question – Your Agents Are Trusting Each Other; Should They?”.
Key questions
Q: What breaks when a sub-agent cannot verify who delegated the task?
A: The delegation chain becomes a trust assumption instead of a control.
Q: Why does inter-agent trust increase security risk in multi-agent systems?
A: Because the receiving agent may inherit authority without being able to verify provenance.
Q: What are the signs that agent delegation is no longer trustworthy?
A: Look for new credentials being minted at each hop, permissions expanding beyond the original request, and gaps between the human initiator and the final action.
Practitioner guidance
- Map delegation chains end to end Document which agents can pass tasks to which other agents, under what identity, and with which downstream permissions.
- Down-scope every delegated task Issue credentials that are limited to the specific subtask, expire at completion, and do not copy the orchestrator's full session permissions into the recipient agent.
- Require provenance in audit logs Log the delegating agent, receiving agent, scoped credential, task correlation ID, and verification state so investigators can reconstruct why a downstream action was trusted.
Bottom line: Multi-agent systems fail when sub-agents accept delegated instructions without a way to verify the legitimacy of the sender or the scope of the task.
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24/07/2026 4:14 pm
Inter-agent trust is a new governance boundary, not a refinement of prompt security. The article shows that downstream agents may receive instructions they cannot independently verify, even when the upstream context looked legitimate. That means the risk is not limited to bad prompts entering an orchestrator. The failure is the absence of verifiable delegation between autonomous actors, which demands a control model focused on provenance, not just content filtering.
A few things that frame the scale:
- Half of companies using generative AI will deploy agentic AI by 2027, according to Deloitte's 2025 Technology Predictions.
A question worth separating out:
Q: How should teams respond when a multi-agent system depends on implicit trust?
A: They should treat every handoff as untrusted until proven otherwise. That means scoping credentials to each task, recording delegation provenance, and testing whether downstream agents can reject instructions that come from a compromised or unverified upstream peer.
👉 Read our full editorial: Inter-agent trust is the missing control in multi-agent AI systems