Project cooperationUpdated on 16 January 2026
HORIZON-CL3-2025-02-ECCC-01: Generative AI for Cybersecurity applications
Sentech SRL- TECH DIR at SenTech SRL
Roma, Italy
About
GENAICS addresses various aspects of cybersecurity. The main functions are::
1. Reduce cybersecurity operational costs: Generative AI helps organizations manage cyber risk more cost-effectively by reducing the time and personnel required to complete security tasks. When implemented well, gen AI tools enhance productivity, optimize security workflows, and reduce response times, ultimately lowering the total cost of cybersecurity operations.
2. Optimize real time threat detection: Threat detection is a top use cases of generative AI today. It allows to identify patterns and anomalies faster, more efficiently filter incident alerts, and reject false positives.
3. Enhance threat intelligence: Previously, analysts would have to use complex query languages, operations, and reverse engineering to analyse vast amounts of data to understand threats. Now, they can use generative AI algorithms that automatically scan code and network traffic for threats and provide rich insights that help analysts understand the behaviour of malicious scripts and other threats.
4. Allows automated security patches: Generative AI can automate the analysis and application of patches. Using neural networks, it can scan codebases for vulnerabilities and apply or suggest appropriate patches using natural language processing (NLP) pattern matching or a machine learning algorithm known as the K-nearest neighbours (KNN) algorithm.
5. Improves incident response: Generative AI can provide security analysts with response strategies based on successful tactics used in past incidents, which can help speed up incident response workflows. Gen AI can also continue to learn from incidents to adapt these response strategies over time. Organizations can use generative AI to automate the creation of incident response reports as well.
Proposed system intends to study and implement all the cited improvements integrating different SW/framework modules in order to obtain all the advantages allowed by the Gen AI.
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