# Intent-graph agent raises automated penetration-test success in CTF benchmark

_Published Monday, September 21, 2026 at 9:09 PM EDT · AI, Security, Science · Latest · Tier 2 — Notable_

A preprint describes Intentest, an automated penetration-testing agent that recorded an 88.2% overall success rate across real capture-the-flag challenges and 75.0% on hard tasks. Those results were approximately 44 and 50 percentage points above the baseline, respectively.

The system stores verified network states as immutable facts in a persistent directed graph, then constrains subsequent exploration to intents supported by those facts. This is a benchmark result rather than evidence of performance on production networks, and the paper has not established that the gains transfer beyond its challenge set.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2609.07344)

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Canonical: https://techandbusiness.org/newswire/fGFsLun0rYvhTIE6gZeMVC
Published: 2026-09-22T01:09:25.731Z
Story chronology: 2026-09-21T04:00:00.000Z
Retrieved: 2026-09-22T03:02:33.876Z
Publisher: Tech & Business (techandbusiness.org)