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Learn to safeguard artificial intelligence systems from both traditional cybersecurity vulnerabilities and emerging AI-specific attack vectors in this 32-minute conference talk from BSidesMunich. Explore comprehensive protection strategies as security experts Michael Helwig and Benjamin Altmiks examine the evolving threat landscape facing AI implementations, covering established security principles that remain relevant for AI systems alongside novel attack methods unique to machine learning environments. Discover practical approaches to identifying vulnerabilities in AI architectures, implementing robust defense mechanisms, and developing security frameworks that address both conventional IT security concerns and AI-specific risks such as adversarial attacks, model poisoning, and data manipulation threats.
