AI Security Guard Q&A is a paid API for AI agents from aisecurityguard.io, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-15).
Answers natural language questions about AI/agentic security findings, identifying attack patterns like prompt injection and returning confidence-scored explanations with follow-up suggestions.
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Returns a natural language answer explaining the detected security pattern or threat, a confidence score (0-1), related finding IDs, and suggested follow-up questions for deeper investigation.
POSThttps://aisecurityguard.io/v1/qaUse this endpoint when you need research-backed, human-readable explanations of AI security findings — especially for identifying prompt injection, instruction override, or jailbreak patterns in text. Prefer this over generic LLM self-analysis when you need a confidence score and structured security taxonomy tied to specific finding IDs.
| Field | Type | Description |
|---|---|---|
| question | string | Your question about the scan findings. Can ask about specific patterns, remediation steps, or threat details. |
| session_id | string | Session ID from X-Session-ID response header of a prior scan. Valid for 15 minutes after scan. |
{
"type": "json",
"example": {
"answer": "The scan detected an instruction override pattern: \"ignore previous instructions\" followed by a command to reveal system information. This is a classic prompt injection technique attempting to bypass safety guidelines.",
"confidence": 0.94,
"related_findings": [
"prompt_injection_001"
],
"follow_up_suggestions": [
"Would you like remediation recommendations?",
"Should I explain the attack vector in more detail?"
]
}
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