AI Security Architecture: Threat Modeling for ISO 42001 | Module 4.3

AI security is bigger than protecting a model. Real risk lives across data pipelines, prompts, APIs, users, suppliers, and the architecture decisions that connect them.

In this lesson, we translate AI threats into practical security controls aligned with ISO/IEC 42001. You’ll see how governance, risk, architecture, monitoring, and audit evidence come together to protect AI-enabled environments before incidents occur.

What you’ll learn:
- How ISO/IEC 42001 connects AI risk, impact, obligations, and security architecture
- Why AI systems introduce new attack surfaces beyond traditional applications
- Key threats including data poisoning, model inversion, membership inference, adversarial examples, evasion, and model extraction
- How prompt injection, retrieval manipulation, APIs, and third-party AI suppliers change threat management
- Practical preventive, detective, corrective, and governed controls for AI systems
- How monitoring, exceptions, evidence, and lessons learned support continuous improvement

Course progression: This lesson builds on earlier modules covering ISO 42001 foundations, governance, architecture, and governed operations. It prepares learners for the next stage: AI incident response and operational resilience.

This video is ideal for security architects, AI governance teams, risk professionals, auditors, compliance leaders, and enterprise teams preparing for responsible AI implementation.

For corporate training programs on AI governance, ISO/IEC 42001, AI security, and responsible AI implementation, visit https://kryptomindz.com or contact mustafa@kryptomindz.com | +91-9873062228.

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Видео AI Security Architecture: Threat Modeling for ISO 42001 | Module 4.3 канала KryptoMindz Technologies