
LLM Service Outages: The Hidden Risk
First comprehensive analysis of failure patterns in public LLM services
This research provides the first empirical characterization of outages and recovery processes across major public LLM services, offering critical insights for enterprise adoption.
- Analyzed 8 popular LLM services including ChatGPT, Claude, and DALLE
- Discovered significant differences in outage frequency, duration, and recovery patterns
- Identified key reliability metrics and failure modes that impact service dependability
- Revealed security implications of service disruptions for business continuity
For security professionals, this research highlights the operational risks of LLM integration in critical systems and provides a framework for evaluating service reliability before deployment.
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models