Defend against zero-day campaigns and other advanced cyber threats with AI
This presentation is aimed at IT security managers and CISOs who deal with defending against complex and dynamic threat scenarios. The focus is on the use of advanced machine learning techniques to detect and neutralize new types of attacks—especially those that evade traditional signatures and rulesets.
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Details
Format:
Technology lecture
Language:
German
Session description
The threat landscape is evolving rapidly, driven by the increasing professionalization of cybercrime and the use of AI by attackers. Particularly challenging are novel, unpredictable attack patterns such as:
• Campaigns with zero-day and N-day exploits
• Insider threats with subtle behavioral changes
• Attacks on the supply chain with lateral spread potential
• AI-supported, adaptive attack techniques
• APTs and other targeted, highly specialized threats
Not only are these attacks becoming more frequent, but falling barriers to entry have also made them accessible to less sophisticated actors. At the same time, traditional detection methods—such as signature-based systems, rule-based engines, t ...
