Pass
Hazard class: None · Harm if complied with: None at all
Screen a prompt before it reaches your model.
Hazard class: None · Harm if complied with: None at all
Screen a prompt before it reaches your model.
Hi Janek, Thank you for the updated offer and for accommodating the 30-day payment terms. Based on your offer 101-100-005680 (Update 2), please find attached Bestellung 71078. The order is for delivery to our Mannheim address. Please also let me know if you need any further information or if there are open points on your side. Best regards, Ugur Kiziloz
The routing decision your code branches on.
What kind of problem this is, if any.
How bad it would be to just answer this.
Text addressed to the model rather than to a person.
Persona swaps, "ignore previous", roleplay framing.
Names, emails, phone numbers, account identifiers.
A classic social-engineering tell.
Encoding or indirection used to slip past filters.
Whether this is a clear-cut case or a grey one.
Anyone with the link can see it, and it appears in Explore.
POST https://api.typesafe.ai/v1/systemone
{
"state": "Hi Janek, Thank you for the updated offer and for accommodating the 30-day payment terms. Based on your offer 101-100-005680 (Update 2), please find attached Bestellung 71078. The order is for delive…",
"model": "jev-latest",
"questions": {
"verdict": {
"type": "choice",
"instructions": "What should a guardrail do with this message?",
"criteria": {
"Pass": "Ordinary use; hand it straight to the model",
"Review": "Something is off; a human or a stronger model should look",
"Block": "Clearly adversarial or harmful; do not process it"
}
},
"hazard": {
"type": "choice",
"instructions": "What is the primary hazard in this message?",
"criteria": {
"None": "A normal, benign request",
"Prompt injection": "Instructions aimed at the model rather than content for it",
"Jailbreak attempt": "Trying to get the model to drop its rules or persona",
"Data exfiltration": "Trying to extract secrets, prompts, keys, or private records",
"Harmful request": "Asking for content that would cause real-world harm",
"Spam": "Bulk promotional or nonsense content"
}
},
"harm_severity": {
"type": "score",
"instructions": "How much harm would complying with this message cause?",
"criteria": [
"None at all",
"Trivial",
"Meaningful but recoverable",
"Serious",
"Severe and hard to undo"
]
},
"is_injection": {
"type": "noul",
"instructions": "Does this message contain instructions aimed at the AI system itself?",
"criteria": {
"true": "It tries to change how the model behaves",
"false": "It is content or a question, not an instruction to the system"
}
},
"is_jailbreak": {
"type": "noul",
"instructions": "Is this an attempt to bypass the system’s safety rules?"
},
"contains_pii": {
"type": "noul",
"instructions": "Does the message contain personally identifiable information?"
},
"claims_authority": {
"type": "noul",
"instructions": "Does the message claim permission, authority, or approval it cannot prove?"
},
"obfuscated": {
"type": "noul",
"instructions": "Is the message deliberately obfuscated to evade filtering?",
"criteria": {
"true": "Encoding, spacing tricks, leetspeak, or indirection hiding the real ask",
"false": "Says plainly what it wants"
}
},
"confidence_to_automate": {
"type": "score",
"instructions": "How clear-cut is this case?",
"criteria": [
"Genuinely ambiguous — needs a human",
"Leaning one way but arguable",
"Fairly clear",
"Unambiguous"
]
}
}
}Nine typed answers, one request, about half a second. Pick a lens or write your own questions.