LLM Security Leaderboard
Every model hit with the same live attack library. Scores, grades, and vulnerability breakdowns update after every scan.
Our Testing Methodology
HOW WE EVALUATE EVERY MODEL · CONSISTENTLY · TRANSPARENTLY
AI-to-AI Testing
Our AI agents conduct multi-turn adversarial conversations with each model, simulating real attack scenarios.
58,000+ Attack Techniques
Every model faces the same comprehensive suite of jailbreaks, prompt injections, evasion, and exfiltration attacks across 15 categories.
Consistent Grading
Security scores (0-100) and letter grades (A+ to F) are calculated using our standardized rubric across all models.
Multilingual Attacks
We test in 12 languages to ensure safety guardrails work across language boundaries and mixed-script attacks.
False Positive Filtering
An LLM judge verifies every finding, eliminating false positives so only real vulnerabilities count toward the score.
Regular Re-Testing
Models are re-scanned as providers update them, ensuring the leaderboard always reflects current security posture.
Test Your AI Model
RUN THE SAME 58,000+ ATTACKS AGAINST YOUR OWN LLM · SCORE + REPORT IN MINUTES
START FREE SCAN