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4.4 (245 reviews)
AI Cybersecurity Solutions: Overview of Applied AI Security
Learn to identify analyze and mitigate GenAI threats using modern security playbooks
π― What You Will Learn & Master
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Identify GenAI threat vectors and attack surfaces
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Analyze security implications of deployed AI models
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Implement mitigation strategies using modern security playbooks
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Evaluate AI system vulnerabilities against industry standards
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Develop response protocols for AI-specific security incidents
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Integrate AI security considerations into existing SOC workflows
π Course Overview & Syllabus Review
This course provides a practical walkthrough of applied AI security fundamentals, focusing on how to identify and mitigate GenAI threats within existing security frameworks. Andrii Piatakha structures the content around real-world playbooks rather than abstract theory, making it accessible for professionals looking to bridge the gap between AI capabilities and security operations. The eight hours are well-paced, covering threat analysis techniques and mitigation strategies that feel immediately applicable to current security challenges. It is a solid resource for anyone needing to understand the security implications of generative AI without getting bogged down in advanced mathematics.
π Structured Curriculum Breakdown
6 Core Modulesπ Prerequisites & Requirements
- None
πΌ Target Career & Job Roles
AI Security Analyst
Cybersecurity Engineer
AI Risk Assessor
Frequently Asked Questions (FAQ)
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Duration:
8 total hours
Credential:
Completion certificate
Language:
English
Instructor:
Andrii Piatakha