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Registration Opens for SOC Forum 2026 with Focus on GenAI and Cybersecurity Risks

GC Solar has opened registration for SOC Forum 2026, the central event of the Russian Week of Cybersecurity. The two-day conference will take place on 27-28 October at the Lomonosov cluster in Moscow and will examine both the economic benefits and the security challenges of generative AI. Day one covers business impact, regulatory questions, data control, liability for AI errors, and new threat vectors. Day two shifts to hands-on technical tracks covering attack detection, defensive infrastructure development, and the use of AI by both attackers and defenders. The program includes dedicated tracks such as AI & Cybersecurity, Offence, Defence, and SOC-practicum. Organizers emphasize practical discussions over marketing presentations about neural-network images.

AntiMalwareTranslated from Russian

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GC Solar has opened registration for SOC Forum 2026, the flagship event of the Russian Week of Cybersecurity. The forum will examine how organizations can extract value from GenAI while managing the new risks it introduces when the technology gains access to corporate data.

The event takes place on 27-28 October at the Lomonosov cluster in Moscow. The first day focuses on business and regulatory topics, including the economic effect of AI adoption, control over data and automated decisions, responsibility for AI mistakes, and emerging risks. Sessions will address whether the promised savings and speed actually materialize in practice.

Four tracks are scheduled for 27 October: AI & Cybersecurity, ИБ и бизнес, Тренды и аналитика угроз, and Многогранный кибербез. The second day turns to operational practice with tracks titled Offence, Defence, Архитектура ИТ и ИБ, and SOC-практикум, covering attack investigation, infrastructure hardening, and the dual use of AI by attackers and defenders.

The full program is published on the forum website and will be updated regularly. Attendees can select sessions according to their interest in either business outcomes or concrete technical measures required once AI systems operate on the opposing side of the security perimeter.

GenAISolarSOC ForumLomonosov Cluster
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