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Whitepaper
Understanding Data Types in AI Safety and Security
To ensure GenerativeAI(GenAI) systems respond safely and reliably, AI safety teams must go beyond smart model design, applying rigorous testing and training with diverse organic and synthetic datasets. Where do these datasets come from, and how does ActiveFence use them to ensure model safety while avoiding bad-data cycles? Download the sheet to learn more.
Apr 1, 2025
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Overview
In this sheet, we cover:
- The difference between Organic and Synthetic Data
- How these data types are used to train AI models
- Real world examples of data collection, generation, and use in AI model training
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.
Technical Blog