🛡️ OWASP LLM Top 10

Detect LLM Attacks
Before They Strike

Real-time adversarial threat detection for prompts, outputs, and retrieved content.
Powered by 4 fine-tuned DistilBERT classifiers — no API key needed.

5 threat types 4 ML models

💉 Prompt Injection

Detects attempts to override or hijack LLM system instructions — direct overrides, role hijacking, system prompt extraction. Scores ≥ 90% = confirmed attack. ≥ 70% = probable. ≥ 50% = review recommended.

Quick examples

📊 Model Health Check

Runs 10 held-out examples per model (5 attack + 5 clean) and reports F1, precision, recall. Threshold: F1 ≥ 0.80. Does not use training data — independent quality gate.

Benchmark results

Benchmark results
Model
Status
F1
Precision
Recall
Accuracy