Safe Travels: Risks of GenAI Applications – A Travel Industry Case Study
Overview
- Analysis of GenAI Risks: Explore the key safety risks associated with GenAI chatbots.
- A Travel Industry Case Study: Uncover threats for travel companies—early adopters of GenAI chatbots for customer service—from brand damage to recommendations that threaten user safety.
- Guidance for Mitigation: Discover actionable strategies to strengthen safety protocols and protect your GenAI app from vulnerabilities.
- Real-Life Examples: Learn how our researchers used risky prompts to manipulate AI systems into generating unsafe advice.
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What’s New from Alice
"Okay, Here is How to Build a Bomb": Millions Download Dangerous LLMs
Thousands of abliterated LLMs have flooded open-source platforms with millions of downloads. These models comply with virtually any request, from bomb-making to malware, and run fully offline on consumer devices.
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.
