PulseAugur
EN
LIVE 08:56:58

New pipeline automates attack graph construction for AI-driven pentesting

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a semi-automated pipeline to bridge the gap between security scanner outputs and symbolic logic frameworks for agentic penetration testing. This system translates evidence from tools like Trivy, Semgrep, and Nmap into a format usable by MulVAL, a logic attack graph generator. The pipeline assists in constructing domain-specific Datalog rules, enabling MulVAL/XSB to infer attack paths. Evaluated on 54 web Capture-the-Flag tasks, the system demonstrated feasibility and practical runtime, generating goal-reaching graphs with significant vulnerability coverage, though noise-path rates remain a challenge. AI

IMPACT This research could enhance the efficiency and audibility of AI-driven penetration testing by integrating symbolic reasoning with LLM agents.

RANK_REASON The cluster contains an academic paper detailing a new methodology and system for security research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New pipeline automates attack graph construction for AI-driven pentesting

How we ranked this

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The cluster contains an academic paper detailing a new methodology and system for security research. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Oliver Stevanovic, Jasmin Wachter ·

    Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting

    arXiv:2609.15523v1 Announce Type: cross Abstract: Logic attack graphs grounded in scanner output provide explicit and auditable attack path reasoning LLM-based agents lack. Integrating symbolic frameworks such as MulVAL to contemporary security workflows or agentic pipelines, how…

RELATED ENTITIES

RELATED TOPICS