What does this MR do? This change adds link sanitization to the Duo Chat window. This is updating the...| GitLab
Misinformation from LLMs poses a core vulnerability for applications relying on these models. Misinformation occurs when LLMs produce false or misleading information that appears credible. This vulnerability can lead to security breaches, reputational damage, and legal liability. One of the major causes of misinformation is hallucination—when the LLM generates content that seems accurate but is […]| OWASP Gen AI Security Project
Sensitive information can affect both the LLM and its application context. This includes personal identifiable information (PII), financial details, health records, confidential business data, security credentials, and legal documents. Proprietary models may also have unique training methods and source code considered sensitive, especially in closed or foundation models. LLMs, especially when embedded in applications, risk […]| OWASP Gen AI Security Project
A Prompt Injection Vulnerability occurs when user prompts alter the LLM’s behavior or output in unintended ways. These inputs can affect the model even if they are imperceptible to humans, therefore prompt injections do not need to be human-visible/readable, as long as the content is parsed by the model. Prompt Injection vulnerabilities exist in how […]| OWASP Gen AI Security Project
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Convert ASCII text into invisible Unicode encodings using Unicode Tags, Variant Selectors, and Sneaky Bits, and decode hidden messages.| embracethered.com