In today’s rapidly evolving digital landscape, proactively identifying chaos and Failure Mode and Effects Analysis (FMEA) scenarios is critical for maintaining resilient systems. In this talk, we will delve into how generative AI can significantly enhance risk management and incident recovery efforts. By integrating diverse data sources—such as dependency graphs, historical incident reports, observability metrics, anomaly detection, and performance logs—organizations can uncover vulnerabilities and derive actionable insights before potential issues escalate.

Generative AI serves a pivotal role in this framework by highlighting and automating the identification of risk scenarios. By leveraging its inferential capabilities, AI not only surfaces hidden weaknesses but also triggers alerts and automates response protocols, keeping teams informed and ensuring they can focus their expertise on critical decision-making. We will present compelling case studies from Intuit to showcase how these AI-driven strategies empower teams to cultivate proactive incident response mechanisms and bolster overall system resilience.

Join us to explore how harnessing the power of generative AI can illuminate potential risks, automate routine assessments, and foster a culture of vigilance and adaptability within your organization. Discover how to use AI as a powerful ally in creating a more secure and reliable operational environment!