Tender Match
EU · in EnglishHORIZON-CL3-2027-02-CS-ECCC-01

Artificial Intelligence for Cybersecurity applications

Expected Outcome: Proposals are expected to contribute to one or more of the following: AI-driven solutions for real-time cyber threat detection; Advanced adaptive AI systems that evolve with dynamic cybersecurity challenges; Contribute to drastically reduce reaction time for the recovery of systems. Scope: Artificial Intelligence is increasingly utilised in cybersecurity for threat detection, inc

The official English text of the call comes from the European Commission's Funding & Tenders portal.

Deadline

15 September 2027 Opens 2 March 2027

Grant per project

4–5 million EURTotal budget: 24.8 million EUR · about 5 funded projects

Region

International (EU)

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Eligibility criteria

EU direct call: eligibility depends mainly on the consortium, the participants' countries and their types of organisation. We cannot check these from your company details, so we do not tell you whether you are eligible. The criteria are in the official call.

Official call

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What is this call about?

Ez az uniós kutatási pályázat mesterséges intelligencia alapú kiberbiztonsági megoldások fejlesztésére irányul. A támogatás olyan AI-rendszerek létrehozására fordítható, amelyek valós időben észlelik a kiberfenyegetéseket, alkalmazkodnak az új támadási módokhoz, és felgyorsítják a rendszerek helyreállítását. A pályázat EU-tagállamok és társult országok kutatási szervezetei, vállalkozásai és intézményei számára nyitott, és olyan fejlesztésekhez illik, amelyek megbízható, átlátható és jogszabályoknak megfelelő AI-megoldásokat hoznak létre a kibervédelem terén.

Official description

Expected outcome and scope

Expected Outcome: Proposals are expected to contribute to one or more of the following: AI-driven solutions for real-time cyber threat detection; Advanced adaptive AI systems that evolve with dynamic cybersecurity challenges; Contribute to drastically reduce reaction time for the recovery of systems. Scope: Artificial Intelligence is increasingly utilised in cybersecurity for threat detection, incident response, and adaptive defence mechanisms. However, AI-driven systems themselves are susceptible to adversarial manipulation and bias. This topic aims to advance AI-based cybersecurity applications while ensuring that AI-driven solutions remain resilient, transparent, and compliant with regulatory frameworks such as the AI Act.

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