AuditBench - Lab Persistence: leaderboard
Metric: F1 (0-100) for persistence-mechanism identification on the Lab data (Linux and Windows audit logs recorded by the authors) (5 attack scenarios): the model reads the scenario's edge-representation (provenance-graph edges, 400-line chunks) audit logs in chunks with prompt v2 and flags the log lines that install persistence; recall counts the attack scenarios found and precision counts false-positive log lines; temperature 0 where available (GPT-5 models at the default medium reasoning effort); higher is better. Source: arxiv.org. Saturation forecast: Around July 2028. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 80 |
| 2 | Gemini 2.5 Flash | 67 |
| 3 | GPT-5 | 57 |
| 4 | Llama 4 Maverick | 57 |
| 5 | Gemini 2.5 Pro | 47 |
Interactive version: theaggregate.ai/benchmark?slug=auditbench-lab-persistence · How It Works · Data refreshed daily, snapshot 2026-09-29.