AI Agent · Circle · Google · Cointelegraph
They argue that AI agents should clearly distinguish between instructions and untrusted data to avoid attackers duping the agent
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
◌ Single Source
The researchers said that standard security setups include trusted and untrusted systems, and that AI should be treated as an untrusted system.
Key facts
- In a recent case, the AI-powered crypto trading assistant Bankr said it disabled transactions on May 20 after identifying an attacker who had gained access to at least 14 wallets
- The amended paper, released on May 20 by researchers from Google, Gray Swan AI, EmbraceTheRed, and several universities, argued that agent security must be approached as a systems problem and that AI
- Circle CEO Jeremy Allaire predicted in January that billions of AI agents would be operating on users' behalf within five years
- AI agents are becoming increasingly popular among crypto users, with Circle CEO Jeremy Allaire predicting that billions of AI agents will be operating within five years
Summary
AI agents are becoming increasingly popular among crypto users, with Circle CEO Jeremy Allaire predicting that billions of AI agents will be operating within five years. Security for artificial intelligence-powered agents should be built into the entire system, not around the model itself, to better prevent failures and attacks from bad actors, according to a new research paper. The amended paper, released on May 20 by researchers from Google, Gray Swan AI, EmbraceTheRed, and several universities, argued that agent security must be approached as a systems problem and that AI agents should be treated as an untrusted component. “Through this lens, efforts to increase model robustness, the dominant viewpoint in the community, are insufficient on their own. AI agents are becoming increasingly popular among crypto users.