Alice AI Security Benchmark
Download the Full Report
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
Securing Agentic AI: The OWASP Approach
In this episode, Mo Sadek is joined by Steve Wilson (Chief AI and Product Officer at Exabeam, founder and co-chair of the OWASP GenAI Security Project) to explore how OWASP is shaping practical guidance for agentic AI security. They dig into prompt injection, guardrails, red teaming, and what responsible adoption can look like inside real organizations.
Distilling LLMs into Efficient Transformers for Real-World AI
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.
