A recent paper published on arXiv emphasizes the need to treat AI agents, particularly those involved in financial transactions, as untrusted components within larger systems. The study, titled "Agent Security is a Systems Problem," highlights the importance of implementing security measures akin to modern operating systems, which do not trust individual processes. Researchers recommend enforcing system-level security invariants, least-privilege sandboxing, and effective separation of instructions from data to mitigate risks such as prompt injection attacks. The urgency of these measures is underscored by a recent incident where $500,000 was drained from a crypto wallet due to vulnerabilities in AI infrastructure. The paper suggests that the responsibility for securing AI agents should extend beyond developers to include infrastructure providers and platform operators. Companies like Ledger are already adopting hardware security measures to address these challenges, indicating a shift towards more robust security protocols for AI agents in the crypto industry.