Vanessa Larivei
Unleashing the power of generative AI in tool migration for enhanced security.
Rel. Fulvio Valenza. Politecnico di Torino, Corso di laurea magistrale in Cybersecurity, 2025
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Abstract
Cybersecurity increasingly relies on strong Access Management to protect applications and sensitive data. Modern solutions improve authentication and user experience, yet organizations still face difficult migrations from legacy systems: processes are complex, timelines are long, specialist skills are needed, and heavy human coordination often causes delays and inefficiencies. Generative AI offers a practical way to reduce this friction. A single conversational assistant can centralize many manual steps, provide real-time guidance, and standardize decisions across onboarding and migration. This can cut redundant actions, shorten implementation time, lower the expertise barrier, and create measurable business value. This thesis explores how GenAI can support Access Management, with a focus on migration to modern platforms.
It does so by implementing a virtual assistant using LangGraph: a graph of connected nodes, each with a clear role in processing the user’s input
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