"In their most basic form, prompt injection attacks are cyber attacks against large language models (LLMs) in which threat actors take advantage of ability such models to respond to natural language queries and manipulate them into producing undesirable outcomes - for examply, leaking confidential data, creating disinformation, or potentially guiding on the creation of malicious phishing emails or malware."
"SQL injection attacks, on the other hand, are a class of vulnerability that enable threat actors to mess with an application's database queries by inserting their own SQL code into an entry field, giving them the ability to execute malicious commands to, for example, steal or destroy data, conduct denial of service (DoS) attacks, and in some cases even to enable arbitrary code execution."
The NCSC warns that prompt injection attacks against generative AI differ fundamentally from SQL injection and may be harder to fully mitigate. Prompt injection manipulates large language models via natural language to produce harmful outcomes such as leaking confidential information, creating disinformation, or guiding malicious phishing and malware creation. SQL injection targets database queries by inserting SQL code to steal or destroy data, cause DoS, or enable arbitrary code execution. SQL injection is well understood and often mitigated by separating instructions from data, for example through parameterised queries.
Read at ComputerWeekly.com
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