AI Risk 2026: The New Era of Digital Threats
Free webinar – December 11, 5:00 PM CET
As generative AI and automation move from experimental tools into everyday attacker workflows, security teams are facing a new kind of pressure: fraud, data leaks, impersonation, and manipulation are all being scaled by machines. The question for 2026 is no longer “Will criminals use AI?” but “How much of this attack was automated or AI-assisted?”
On December 11 at 5:00 PM CET, Social Links is hosting a free webinar, “AI Risk 2026: The New Era of Digital Threats,” designed for security leaders, cyber and fraud specialists, and digital risk professionals who need to understand how AI is reshaping the threat landscape – and what to do about it.
Moderator:
- Ivan Shkvarun – Founder & CEO, Social Links; author of the Darkside AI initiative
Speakers:
- Anatoly Kvitnitsky – CEO, AI or Not (deepfakes, content authenticity, synthetic media abuse)
- Alex Lozano – CEO, Cibergy; cybersecurity and investigations expert; Private Investigator & Security Director (darknet, industrialised cybercrime)
- Hieu Minh Ngo (Hieu PC) – Cyber Threat Investigator, TRM Labs; Founder, ChongLuaDao; former hacker turned defender (AI-driven fraud, identity abuse, attacker’s perspective)
Experts will discuss 2025 in practice, sharing concrete cases where AI and automation amplified corporate data leaks, credential abuse, deepfake scams, and social engineering. They will then turn to darknet, automation and “industrialised” crime, examining how scripts, bots and GenAI-enabled toolkits are packaged and sold, turning leaked data into scalable “crime-as-a-service” offerings. Finally, they will explore what this means for 2026: the key risks and blind spots security teams are likely underestimating, which sectors are most exposed, and where traditional playbooks are no longer enough.
The session will close with a live panel discussion and Q&A, focusing on how organisations can shift protection from infrastructure alone to people, identity and digital trust, improve their ability to detect and respond to GenAI-powered scams and deepfakes targeting brands, executives and customers, and build cross-functional AI risk governance that brings together security, legal, and the C-suite.