Deepmind’s ‘AI Agent Traps’ Paper Maps How Hackers Could Weaponize AI Agents Against Users
Google Deepmind researchers have published the first systematic framework cataloguing how malicious web content can manipulate, hijack, and weaponize autonomous AI agents against their own users. Key Takeaways: Google Deepmind researchers identified 6 AI agent trap categories, with content injection success rates reaching 86%. Behavioural Control Traps targeting Microsoft M365 Copilot achieved 10/10 data exfiltration […]