Inside the Advisory Database and what happens when vulnerability volume breaks records

GitHub reports a sustained, unprecedented surge in vulnerability reporting and advisory submissions that has increased review times and strained curation throughput. The post explains the causes (volume, ambiguity, multi-ecosystem and conflicting data), what’s still working, steps GitHub is taking (automation, AI-assisted tooling, scaling infrastructure, documentation), and actionable guidance for reporters and maintainers to improve advisory quality and reduce processing delays.