Auto57%Harbor: pendingAgentic / Tool UseLong Context

APTInvestBench

APTInvestBench: Evaluating Autonomous APT Investigation under Varying Telemetry

A benchmark evaluating cross-telemetry robustness in autonomous Advanced Persistent Threat (APT) investigation using 370 cases derived from attack reconstructions and 16.4 million log records.

How to run

ltb · aptinvestbench
$ npm i -g lettokenburn-cli
$ ltb bench info aptinvestbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

7 sourced entries
HarnessSourceConfidenceLink
GPT-6 Astra79.2N/AIndependentmediumSep 30, 2026arxiv.org
GPT-5.6 Sol71.8N/AIndependentmediumSep 30, 2026arxiv.org
GPT-5.560.7N/AIndependentmediumSep 30, 2026arxiv.org
DeepSeek V4 Pro50.8N/AIndependentmediumSep 30, 2026arxiv.org
MiniMax-M346.2N/AIndependentmediumSep 30, 2026arxiv.org
GPT-5.6 Luna43.8N/AIndependentmediumSep 30, 2026arxiv.org
GPT-5.6-terra43.6N/AIndependentmediumSep 30, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

Content & Construction: The benchmark comprises 370 cases across seven SOC-inspired telemetry conditions, derived from 56 report-informed attack reconstructions with 16.4 million log records. It allows agents to investigate unverified leads under varying evidence availability while keeping reference actions and requirements fixed.

Scoring & Key Findings: Agents submit reports with record-level citations; scoring tracks sufficient evidence across logs, query returns, and formal citations. Results show that while aggregate coverage may appear stable (e.g., 1.6% decline), substantial instability exists where over 35% of previously covered actions lose citation support when telemetry changes from Full to endpoint-only.