
Explore the dual nature of AI in cybersecurity: its potential for enhancing threat detection and its risks when leveraged by hackers. Gain insights into the future of ML and AI in security.

Discover how Microsoft Defender combats SYS01 infostealer malware through real-time protection, heuristic analysis, and behavior monitoring, with focus on countering Facebook-based social engineering threats.

Explore how AI can be manipulated for malicious purposes through live demonstrations, from transforming helpful AI assistants into harmful agents to using AI models for network exploitation.

Explore how AI and Neural Machine Translation can automatically generate offensive PowerShell code from natural language, with insights into dataset creation and model performance evaluation.

Explore firmware attack vulnerabilities in 3D printing systems, examining classification methods, attack vectors, and security implications for fused filament fabrication processes.

Explore real-world software supply chain attacks, security vulnerabilities, and defense strategies through npm and NuGet examples, learning to protect projects from malicious package threats.

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