Test AI prompt injections & guardrail defenses.
See how adversarial jailbreaks, persona overrides, and delimiter spoofing break naive chatbots — and how SiteMind’s architectural isolation defends your brand. 100% client-side simulation.
❌ Vulnerability: Merging raw user input directly into system instructions allows prompt overrides and credential leakage.
✅ Protected: User input is isolated inside strict <retrieved_context> tags with zero execution privileges, and zero secrets are ever placed in prompts.
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Why SiteMind Cannot Be Jailbroken
Three architectural invariants that prevent prompt leakage, rogue persona shifts, and hallucinated answers.
XML Tag Encapsulation
Untrusted user input and reference documents are strictly isolated inside <retrieved_context> blocks. Closing tags are escaped to prevent instruction tag injection.
Zero-Secrets Architecture
System prompts contain no API keys, database strings, internal credentials, or private customer records, eliminating the surface for credential harvesting.
Cosine Cutoff Refusals
If visitor queries do not match verified website embeddings above a strict cosine similarity threshold, generative models are bypassed, returning an honest refusal.
Frequently Asked Questions
Technical specifics on LLM prompt injection defenses, XML isolation, and vector grounding.
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