CTI-REALM: leaderboard

Microsoft detection-engineering benchmark where agents interpret cyber threat intelligence, inspect telemetry, and produce Sigma/KQL detection rules across Linux, AKS, and Azure cloud scenarios.

Metric: Normalized Reward. Source: arxiv.org. Saturation forecast: Around February 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (High)0.64#63 (Claude Opus 4.6)
2Claude Opus 4.50.62#83
3Claude Sonnet 4.50.59#142
4GPT-5 (Medium)0.57#98 (GPT-5)
5GPT-5.2 (Medium)0.57#110 (GPT-5.2)
6GPT-5 (High)0.56#98 (GPT-5)
7GPT-5.2 (High)0.55#110 (GPT-5.2)
8GPT-5 (Low)0.54#98 (GPT-5)
9GPT-5.1 (Medium)0.51#135 (GPT-5.1)
10GPT-5.1 (High)0.49#135 (GPT-5.1)
11GPT-5.2 (Low)0.49#110 (GPT-5.2)
12O30.47#124
13GPT-5 Mini0.45#186
14GPT-4.10.42#248
15GPT-5.1 (Low)0.37#135 (GPT-5.1)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=cti-realm · How It Works · Data refreshed daily, snapshot 2026-10-20.