Why it matters
Researchers describe agent data injection, which disguises attacker-controlled values as trusted metadata or agent context rather than explicit instructions. Demonstrations caused web agents to click the wrong control and coding agents to trust forged authors, tool results, or checks.
My takeaway: Prompt-injection filters do not solve corrupted data semantics. Preserve typed trust labels, parse structure deterministically, isolate attacker-controlled fields, bind approvals to the exact resource and action, and display provenance instead of asking users to approve an agent’s interpretation.