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PRISM-Safety
1 Benchmark
AI Safety & Alignment
Multi-turn adversarial red-teaming of frontier LLMs — chained attack strategies, domain-specific safety failures, and policy bypass attempts across real-world risk surfaces. Benchmarked by Reinforce Labs (Centific's partner) under the Responsible AI domain.
FLINT Benchmark · Multi-Turn Adversarial Safety Red-Teaming
Responsible AI Security benchmark by Reinforce Labs (Centific's partner) — 1,406 adversarial conversations · 11 frontier models · 4 policy categories · 5 attack methods · 13.73 avg turns per simulation. Tests whether models withstand sophisticated multi-step adversarial attacks. Lower ASR = stronger guardrails.
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