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Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning

Researchers define a new attack class called Oracle Poisoning, where adversaries corrupt structured knowledge graphs that AI agents query at runtime, causing incorrect conclusions through correct reasoning. Tests on a production 42-million-node code knowledge graph show that all models trusted poisoned data at 100% under directed queries at moderate attacker sophistication.

SourceHacker News AIAuthor: sbulaev
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
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Key points

  • Oracle Poisoning manipulates the data AI agents reason over by corrupting knowledge graphs, rather than injecting instructions.
  • Evaluation across nine models and 270 trials showed 100% trust in poisoned data under directed queries.
  • Read-only access control eliminates the direct mutation vector, but other defenses are partial and model-dependent.

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