Agent-to-agent coordination is dangerously exposed to prompt injection, goal hijacking, and unguarded transactions
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Summary
As users let their agents talk to other people's agents to negotiate schedules, terms, and logistics, they inherit severe, unsolved security and reliability risks: prompt injection and goal hijacking can redirect an agent mid-negotiation, memory is stored as unvalidated free text, and agent workflows skip the input validation, process isolation, and access control that traditional software relies on. The same trust gap shows up when agents execute anything consequential (like a payment) — timeouts and retries can double-charge, and there is no clear recovery from a halfway failure. With no trustworthy guardrails, handing real negotiation and transaction authority to an agent that converses with untrusted counterparties is a liability no founder, sales rep, or recruiter can accept — and no one is solving it for the cross-party coordination use case.
Reddit context (brief)
Short excerpts derived from discussions—open the source links for full threads.
Agent builders are missing basic software engineering practices, leading to memory, security, and goal-hijacking issues.
AI agents handling payments are untrustworthy due to risks of double charges, timeouts, and unclear retry logic.
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Use as evidence: Agent-to-agent coordination is dangerously exposed to prompt injection, goal hij
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Related angle: Agent-to-agent coordination is dangerously exposed to prompt injection, goal hijacking, and unguarded transactions
Context: r/ai_agents
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