The main goal of the First Summer School on Artificial Intelligence in Cybersecurity is to deepen your knowledge on Cybersecurity through prestigious speakers, poster sessions where students can present their ongoing work, Capture the Flag (CTF) and MDPI Scientific Publishing Exchange. The summer school will allow you to look into a variety of topics within the field of Security, identify new research trends, meet forerunners in this research field, and network with other students, all in an unparalleled natural. If you are a PhD student or a master's student interested in research, the summer school will enable you to deepen your understanding of these topics alongside top-tier international researchers.

This summer school will focus on Artificial Intelligence (AI) in cybersecurity. As AI rapidly advances and integrates into various domains, cybersecurity emerges as a critical field grappling with both the benefits and pitfalls of AI technologies. This summer school will explore the multifaceted dimensions of AI-driven cyberattacks, offering insights into their implications, mitigation strategies, underlying motivations, and profound societal impacts.

This summer school is organized by the INCIBE-UCM Cybersec Chair of the Universidad Complutense de Madrid (Spain) in collaboration with the Information Security Programs of the ESIME Culhuacan (MISTI and ESITI) of the Instituto Politécnico Nacional (Mexico).

The First Summer School on Artificial Intelligence in Cybersecurity will take place from November 3rd to 7th, at the CVDR-IPN, Cancun, Mexico.

Overview

The recently introduced area of DevSecOps—in medium to large companies—currently lacks automated security tools. While most existing solutions predominantly target only one narrow step of the software development life cycle (SDLC) process, a much-needed holistic overview of the global security solution is missing. Despite this, in terms of security, DevSecOps is considered the best application development approach. By integrating security early on in the development process, it is possible to ensure it is a continuous service delivery as opposed to being developed in silos.

In this context, this Topic is requesting the submission of papers that incorporate automated security tools throughout the software development life cycle. Specifically, these works must perform targeted security checks and collect valuable information and intelligence from each step and apply advanced machine learning and artificial intelligence methods to convert this intelligence into actionable insights and recommendations, following an open-source approach for the core functionality, which will be supported by a realistic and viable business model.

We invite authors to submit original contributions in all areas of artificial intelligence, cybersecurity, and software security.

Topics of Interest

Topics of interest include but are not limited to the following:

• Adversarial machine learning techniques applied to DevSecOps
• AI techniques for vulnerability prediction
• Artificial intelligence for automatic error correction
• Artificial intelligence techniques for algorithmic verification
• Automatic abstraction techniques applicable to programming code
• Automatic modelling of software and hardware attacks and defences using artificial intelligence algorithms
• Automatic prediction of security flaws in software and hardware using deep learning algorithms
• Deep learning techniques for modelling threats and vulnerabilities in software
• Deep learning techniques for symbolic model checking
• Deep learning techniques for the detection of programming errors in binary and modern programming languages

Information for Authors

Manuscripts submitted to Proceedings should neither be published previously nor be under consideration for publication in another journal, conference, or summer school. The main article type is listed below:

Abstract: Abstract is the main article type.

Abstracts can be a short single paragraph summarizing the main topic and the findings that will be presented at the summer school, or an extension of a typical abstract that contains a moderately detailed account of the work. The main text usually has no sections, but may include tables, figures, and references. The length should not exceed four pages.

Summer Schools manuscripts must be submitted following the MDPI templates here. Failure to use the template may result in papers not being included in the Proceedings.

• Manuscripts should be written in English.
• Manuscripts should use fonts no smaller than 10 points and have no page numbers and no headers or footers. The top and bottom margins should be at least 0.5 inches.
• The affiliation shown for authors should include an email address for persons who wish to write for more details about the paper.
• All fonts should be embedded in the pdf file.
• Using the template is mandatory, and any variation from the MDPI template may lead to immediate rejection of your paper by the system.

Important Dates

• Paper Submission Deadline: September 20, 2025
• Notification to Authors: September 30, 2025
• Camera-Ready Papers: October 10, 2025