AI Agent Traps
AssessTechniques
A DeepMind research line examining vulnerabilities agents face in adversarial environments.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by funding news, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Google DeepMind·6/10/2026fundingGoogle DeepMind opens $10M call for multi-agent AI safety research
Google DeepMind, with Schmidt Sciences, the Cooperative AI Foundation, ARIA and support from Google.org, has announced up to $10 million in research funding for multi-agent AI safety. The call seeks proposals on sandboxes, agent-network behavior, infrastructure trust mechanisms, and oversight for systems where many independent AI agents interact across digital environments.