Agent Data Injection: A New Attack Class Beyond Prompt Injection
Released: 07/16/2026
How Corrupted Metadata Bypasses Existing Agent Defenses. Agent Data Injection: A New Attack Class Beyond Prompt Injection Key Takeaways Researchers from Seoul National University, the University of Illinois Urbana-Champaign, and Largosoft have identified Agent Data Injection (ADI), a distinct category of indirect prompt injection that corrupts the factual data an AI agent implicitly trusts — such as UI element identifiers, comment authorship metadata, and tool call records — rather than embedding direct instructions [1][2]
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