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VQV Signal
Agent Data Injection Attacks Pose Realistic Threats to AI Agents
AI agents that act on user prompts and consume external data are vulnerable to agent data injection attacks, beyond the well-studied instruction injection. Existing research has focused on indirect prompt injection, but new findings highlight the need to address broader data injection threats.
As AI agents increasingly interact with external data and perform actions autonomously, understanding and mitigating data injection attacks is critical to maintaining their security and reliability. This expands the scope of AI security beyond prompt-based instruction injection to more complex atta...
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