AppItYourWayAppItYourWay
App an idea
Signal Alertcritical riskhigh confidencemoderator reviewed
0

Prompt Injection Risk Is High If Users Control Any Input That Reaches Your LLM

If users can type anything that eventually reaches your LLM, they can attempt to override your system prompt, extract your data, or redirect your AI’s behavior.

By Contributor · published 5/30/2026

Prompt injection is ranked #1 on the [OWASP Top 10 for LLM Applications 2025](https://genai.owasp.org/llmrisk/llm01-prompt-injection/). A prompt injection attack occurs when user-supplied input contains instructions that override or manipulate the LLM’s behavior — bypassing your system prompt, leaking internal data, or causing the model to perform unintended actions. This is not a theoretical attack. If your app: - Summarizes user-uploaded documents - Answers questions about user-provided data - Processes emails, support tickets, or form submissions with an LLM …it has a prompt injection surface. ## Why it matters A successfully injected prompt can expose your system prompt, your business logic, or your users’ data. As AI systems are increasingly granted access to tools, databases, and external services, the impact surface grows. ## Suggested next action For any feature where user input reaches an LLM, add structural delimiters separating the system prompt from user content. Test by attempting your own injection attack.

Sources

Confidence check

Authorship · HumanHas anyone checked this? · moderator reviewedConfidence · highReviewed · todayEndorsements · 0Challenges · 0Evidence · 0Related guides · 0

Evidence

No evidence linked yet.

Discussion

0 comments

Loading comments…

Sign in to join the discussion.