Benchmark Released for Genomic Surveillance Agents
kenbwork · x · 2026-07-10
The author introduces BioSecBench-Surveillance: a verifiable benchmark testing whether AI agents can execute genomic surveillance analysis and decision-making. It includes 100 evaluations covering 7 task categories, 6 sample types, and both short- and long-read sequencing scenarios.
Results from roughly 4,800 runs reveal pass rates between 14% and 50% across different model/framework configurations. Agents struggle most with scientific judgment, reference sequence selection, threshold setting, and final interpretation. The author believes such benchmarks help gauge how far agents are from real-world public health analysis.
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