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Artificial Intelligence & Cybersecurity: A Preliminary Study of Automated Pentesting with Offensive Artificial Intelligence

Author

Listed:
  • Marin François

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Pierre-Emmanuel Arduin

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Myriam Merad

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we seek to define an experimental framework for the application of a new industrialization method for penetration testing. This work- in-progress research is placed in a particular business context: that of a company with an extensive and decentralized information system. The objective of this research is to give companies the tools to develop a penetration test task force capable of testing any system in a fully automated way and to form proper communication channel and support for risk assessment reporting. It is based on the use of artificial intelligence to make the penetration test autonomous. This research considers the conduct of penetration tests both through their technical issues and through the managerial issues specific to a decentralized information system.

Suggested Citation

  • Marin François & Pierre-Emmanuel Arduin & Myriam Merad, 2021. "Artificial Intelligence & Cybersecurity: A Preliminary Study of Automated Pentesting with Offensive Artificial Intelligence," Post-Print hal-04712462, HAL.
    • Handle: RePEc:hal:journl:hal-04712462
    DOI: 10.1007/978-3-030-85977-0_10
    as

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    More about this item

    Keywords

    Information systems; Penetration-testing; Machine learning; 658.4; Sécurité; espionnage industriel; M15; L86;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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