What Is a Prompt Injection Attack?
Prompt injection attacks exploit vulnerabilities in language models by manipulating their input prompts to achieve unintended behavior. They occur when attackers craft malicious prompts to confuse or mislead the language model. This technique takes advantage of the model’s lack of understanding of malicious intent, directing it to produce harmful or inaccurate outputs.
This is part of a series of articles about application security.
These attacks can be particularly dangerous in systems where language models are integrated with sensitive applications or data processing pipelines. If unchecked, they may allow attackers to distort outputs, misrepresent information, or access restricted functionalities, posing risks to data integrity and system security.
Read the full article: https://www.pynt.io/learning-hub/application-security/prompt-injection-example-types-mitigation-strategies
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