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Whitepaper
ALICE AI Security Benchmark
Adversarial prompts quietly undermine GenAI systems. Many detection models struggle to balance safety and usability, creating hidden risks for any enterprise deploying generative tools at scale. This report exposes critical gaps in top-rated models and shows where precision and reliability truly stand. Download the benchmark report to understand which systems can keep your AI secure under real-world pressure.
Aug 9, 2025
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Overview
In this report, we cover:
- Model performance on precision, recall, and FPR using real and synthetic adversarial prompts
- Multilingual detection accuracy across 13 global languages
- Emerging techniques in prompt injection and jailbreak tactics that evade standard filters
Use these findings to assess your current safety stack, then reinforce your defenses with a system built to scale. Download the report and secure your GenAI systems before attackers find the gaps.
What’s New from Alice
Distilling LLMs into Efficient Transformers for Real-World AI
webinar
Sep 25, 2025
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 min read
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.
Guardrails