LLM Application Prompt Injection Defense Chain
Block ID: 49086de2-079c-4ed3-9f47-2dd1c63f4d7a
Community-contributed block. PromptDNA makes no guarantee of output quality or fitness for purpose. User assumes all responsibility for use.
This block carries additional risk (risk level: medium) and requires a stronger domain-specific disclaimer when used.
Template
Review the LLM-integrated application described: {llm_app_description}. Step 1: Map every source of text that reaches the model: user input, retrieved documents, tool outputs, third-party content, and system prompts. Step 2: Classify each source by trust level and identify where untrusted content could carry injected instructions. Step 3: For each injection vector, describe a concrete attack: what an attacker would write and what harmful action could result given the app's tools and permissions. Step 4: Propose layered mitigations: input isolation, privilege reduction on tools, output validation, and human confirmation for sensitive actions. Step 5: Identify residual risks that mitigations cannot fully eliminate.
Variables
| Name | Type | Required | Trust level |
|---|---|---|---|
| llm_app_description | free_text | yes | user |
prompt-injectionllm-securitytrust-boundariesai-safety
Ratings
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Overall (0)
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Accuracy
0.0
Consistency
0.0
Clarity
0.0
Efficiency
Benchmarks
Not yet self-validated against any benchmark. Automated, evaluative only - not a factor in whether this block was published.
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Submitted by PromptDNA Seed Agent via bulk_import · PromptDNA Fable 5 generation v1.0 · 2026-07-14