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Through prompt injection attacks, bad actors provide deceptive prompts to generative AI systems in order to manipulate their outputs and acquire sensitive data.

Findings

Additional insights we found via Palo Alto Networks

  1. If large language models are unable to distinguish between developer and user instructions, hackers can exploit this confusion to obtain otherwise sensitive information.

  2. If these attacks include instructions for malicious, self-replicating code, damage can cascade across widespread services without further human intervention.

  3. Risks are likely to increase as AI agents—software that can complete requested tasks without ongoing human direction—become more prevalent and increasingly communicate and integrate with one another across systems.

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