PromptSpy Simulates Indirect Prompt Injection Risks in Multi-Agent Email

Summary

PromptSpy is a conceptual simulation of multi-agent email workflows, showing how contextual information may influence downstream AI assistants differently from human readers. It highlights orchestration risks and suggests validating and isolating inter-agent context.

Key points

• PromptSpy models an email pipeline involving persona, recipient-profiling, pretext, content-generation, email-assistant and conversation agents.
• The project compares a human’s view of an email with downstream AI processing such as summarization, classification and reply drafting.
• The article explores how context passed between agents could influence later AI processing, even when the visible email appears ordinary to a human.
• The article describes the project as a simulation, not a full-fledged attack scenario; it says the main simulation does not execute arbitrary instructions or modify the visible email.
• A working-demo section describes hidden text or prompts in email content, but the article provides no detailed technical findings establishing a real-world attack.
• Suggested safeguards include validating and sanitizing intermediary context, checking provenance, isolating conversational context, limiting memory persistence and auditing agent-to-agent communication.
• Conversational memory poisoning is presented as a possible future extension, not as a demonstrated current capability.

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