5 Red Teaming Tactics to Ensure GenAI Safety
As Generative AI evolves, traditional security testing is no longer sufficient. Join this expert-led session to learn essential red teaming tactics that identify hidden risks and ensure safer model releases.
Unlock the full recording
Watch On-Demand
5 Red Teaming Tactics to Ensure GenAI Safety
Overview
Relying on standard safety benchmarks can leave your GenAI models vulnerable to sophisticated, real-world misuse. This webinar explores how to apply Safety by Design principles through advanced red teaming to mitigate risks and improve model reliability.
- Explore red teaming approaches tailored for different company sizes and use cases.
- Gain insights into reducing bias and uncovering unknown failure modes in LLMs.
- Learn how to measure the effectiveness of your testing to ensure ongoing safety.
Meet our speakers
What’s New from Alice
Your LLM Has No Idea What It's Doing
Diana Kelley, CISO at Noma Security and former Cybersecurity CTO at Microsoft, joins Mo to work through the real mechanics of LLM risk: why the context window flattens the trust boundary between system instructions and user data, why that makes reliable internal guardrails essentially impossible, and why agentic AI is less a new threat category and more a stress test for the hygiene debt organizations never fully paid off.
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.
Exposing the Hidden Risks of AI Toys
AI-powered toys are entering children’s everyday lives, but new research reveals serious safety gaps. Alice testing shows how child-like interactions can lead to inappropriate content, unsafe conversations, and risky behaviors.