Aside from being wary about which AI services you use, there are other steps organizations can take to protect against having data exposed.
While the danger here might be mitigated by the fact that similar ideas can be found through most search engines, there is one area where this form of attack could be catastrophic: data containing personally identifiable and financial information. The possibility that personally identifiable information such as names connected to phone numbers, addresses, and account numbers exists within a given large language model’s dataset is only constrained by how selective the engineers who trained it were with the data they chose.
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