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Protect your AI systems from cyber threats - adversarial attacks, data poisoning, prompt injection, and model extraction. Defense strategies for AI security.
This course covers the unique cybersecurity challenges that AI systems face. You'll learn about AI-specific threats that traditional security doesn't address: adversarial attacks that trick AI models, data poisoning that corrupts training data, prompt injection attacks on large language models, and model extraction attempts to steal your AI. The course provides practical defense techniques and compliance guidance for securing AI systems. You'll understand how to protect your AI infrastructure, monitor for attacks, and respond to AI-specific security incidents.
2 modules • 2 lessons • 13 min
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