Generative AI is revolutionizing daily life, evolving as critical as smartphones and social media. It encompasses text, images, and videos through generative models, with Large Language Models (LLMs) focusing on text-based outputs. However, its adoption carries risks, notably prompt injection—an attack that undermines AI applications by hijacking user prompts to alter outputs and their intended functions. Listed as the top risk by OWASP, prompt injection threatens Responsible AI concepts, generating biased content and compromising information security. Organizations must strategize to safeguard against these emerging threats to harness generative AI effectively.
Like any emerging technology, generative AI has both advantages and disadvantages. As security professionals, we anticipate how malicious actors might exploit these technologies.
OWASP has listed prompt injection as the top risk. They define prompt injection as 'Manipulating LLM output by hijacking the prompt via crafted user input'.
Prompt injection attacks can be exploited in various ways, posing risks to both Responsible AI and Information Security.
From a security perspective, prompt injection can be leveraged to gain unauthorized access to sensitive information or manipulate the behavior of an AI system.
Collection
[
|
...
]