Watch the best of DevSecCon ‘24

Discuss the unique challenges of deploying AI systems in real-world environments, including ensuring reliable performance and defending against AI-specific threats. As AI becomes more complex and autonomous, its unpredictability grows, making security a critical concern. Drawing on insights from our experience, including operating the world’s largest AI Red Team (Gandalf), explore the evolving threat landscape and the security implications of AI in production, covering issues such as prompt injection attacks, data loss, and the risks posed by the democratization of AI capabilities.

Explore the motivation for integrating AI into services for productivity and cost reduction. Address the security and trust challenges that arise from embedding AI in applications. Traditional testing often falls short. Discuss how targeted strategies and automated processes for testing AI models can mitigate these risks. Demonstrate how automating the testing of AI failure modes can ensure secure and reliable AI-enhanced applications, allowing organizations to seamlessly integrate AI without exposing their systems to vulnerabilities.