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
Curiouser Soundbites: What a Former Google Cloud CISO Wants Leaders to Know About AI
Everyone's watching the flood of new AI vulnerabilities. Former Google Cloud CISO Phil Venables is watching something else, and it's the shift leaders can't afford to miss.
The Former Google Cloud CISO's Take on AI, Agents, and What Comes Next
There's a lot of noise around AI and security right now, and not many people who can cut through it the way Phil Venables can. He was CISO at Goldman Sachs, then the first CISO for Google Cloud, and he's now a partner at Ballistic Ventures. In this episode, he tells us why attackers scaling up worries him more than the vulnerabilities themselves, what trust even means when an agent is acting in your environment, and why the answer to most of this comes back to the same fundamentals we've leaned on for years.
It Takes AI to Break AI: The Case for AI Red Teaming
As AI systems gain autonomy, organizations need security approaches built specifically for AI behavior. Learn why AI-driven red teaming is becoming a critical defense layer.
Demystifying AI Red Teaming
Your AI passed every check. That doesn't mean it's safe. Learn how to red team AI systems before adversaries find the gaps you missed.