The latest accuracy benchmark cycle was run on the CloudsineAI internal evaluation harness against published attack datasets and CloudsineAI’s internal evaluation corpora.Documentation Index
Fetch the complete documentation index at: https://docs.protectorplus.cloudsine.tech/llms.txt
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Headline results
| Test type | Status | Accuracy |
|---|---|---|
| Sensitive data — PII detection | ✅ Pass | 100% |
| Sensitive data — System prompt protection | ✅ Pass | 91% |
| Prompt injection | ✅ Pass | 93% |
| Unsafe-content detection | ✅ Pass | 92% |
PII detection
Singapore-localised PII evaluation corpus derived from a publicly-available balanced PII benchmark. PII guardrail enabled for SG NRIC/FIN, Phone Number, Person, Email Address, Credit Card.System prompt protection
System Prompt Protection guardrail enabled with default settings. 91% accuracy on CloudsineAI’s internal system-prompt-leakage evaluation corpus.Prompt injection
CloudsineAI’s internal evaluation harness against a well-known public prompt-injection benchmark. The headline number reflects the LLM classifier combined with the TVDB Vector filter at medium sensitivity. Per-configuration breakdown available on request.Unsafe-content detection
Content Moderation guardrail enabled with standard malicious-input recommended settings. 92% accuracy across the standard hazardous-content categories.Methodology
Tests are executed through the CloudsineAI evaluation harness against the latest production iteration of Protector Plus on the recommended hardware specification (g6e.2xlarge). Underlying per-run CSV exports are retained for audit and are available to evaluators on request via the contact form.