Prompt Injection is a security vulnerability where a malicious user provides input that overrides the pre-configured system instructions or safety alignment filters of a Large Language Model, hijacking its control flow.
Defines the safety alignment and security constraints of user-facing systems during vulnerability analysis, llm firewall design, and input sanitation; implementing Prompt Injection helps builders isolate instructions from injection exploits.
Prompt injection is a security vulnerability where a user inserts malicious text instructions into a prompt to override the LLM's system guardrails and safety directives. This can cause the model to bypass safety alignment, generate restricted content, execute unauthorized function calls, or exfiltrate session data to external endpoints.
Direct prompt injection occurs when a user prompts the model to ignore rules. Indirect prompt injection happens when a model reads untrusted external data (like a webpage) containing malicious instructions.
By separating user input from developer instructions, using strict system prompt isolation, and employing secondary filter models to inspect outputs.
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