# Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?

arXiv: https://arxiv.org/abs/2605.28334 · HTML: https://mlsanity.com/paper/2605.28334/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2026.

## Built on by (most cited first, 2 of 2)

- [Determinants and Limits of LLM Security-Tool Orchestration: A Study with HexStrike-AI](https://mlsanity.com/paper/2607.02873/) (2026)
- [The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilities](https://mlsanity.com/paper/2607.05743/) (2026)

## Abstract (arXiv)

What is the best harness for cybersecurity AI? Cybersecurity systems are converging on a single execution scaffold per agent, an iterative shell loop driven by a Large Language Model (LLM). However, scaffolds are not interchangeable, rarely interoperable, and no single scaffold dominates across all challenge types. In our path towards researching Cybersecurity SuperIntelligence (CSI), we present a meta-scaffold that unifies heterogeneous agent harnesses under a common orchestration layer, enabling any LLM-driven scaffold to be deployed, benchmarked, and composed within the same infrastructure. Using CSI, we benchmark five scaffolds (CSI::Claude, CSI::Codex, CSI::GCAI, CSI::Mistral, CSI::CAI) on the 33 cybench challenges, holding the model fixed at alias2-mini. The best individual scaffolds solve 15/33 (45.5%); the four-scaffold union solves 17/33 (51.5%), with the fifth (CSI::Mistral, 10/33) contributing one exclusive solve. We find that no single scaffold is the best harness: it is the combination of structurally heterogeneous scaffolds that yields the highest coverage. We validate this through CSI's blackboard-based multi-agent architecture, in which scaffold-specialised agents run in parallel and exchange intermediate findings via a shared substrate (a blackboard). The blackboard solves 19/33 (57.6%), a 27% relative gain over CSI::Claude, one of the best individual scaffolds (15/33, 45.5%), 25% faster (20.2 h vs. 26.8 h), at comparable cost (5,480 vs. 5,122).