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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.
Learn AI-specific threats: adversarial attacks, data poisoning, prompt injection and model extraction. Get defense techniques and compliance guidance. For security teams protecting AI systems.
Built for compliance teams who need procedures that survive audit, not just theory. You'll work through 2 structured modules and 2 lessons (~0.2h) with downloadable templates and finish with a verifiable certificate of completion you can list on LinkedIn the same day.
Video, downloadable templates, and a workshop in every module. Updated quarterly.
Every course is co-authored by working practitioners and reviewed by external auditors. We update content quarterly so what you learn matches what regulators are enforcing.
I've taken three courses on this regulation. This is the only one that actually shows you the workflows. The templates alone were worth the price.
The teaching style is exactly what compliance training has been missing. We bought 12 seats. Best money we spent in Q1.
Two weeks after finishing the course, we had to apply exactly what we learned. The runbooks and decision trees made it so much easier under pressure.
Not a beginner course. If you already know the basics, this fills in every gap you didn't know you had. Quizzes are challenging.

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