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.
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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
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.
