Secure Your AI: Threat Modeling

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Secure Your AI: Threat Modeling

This course is part of Agentic AI Development & Security Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Learners will apply threat modeling and architectural analysis to select secret management solutions and mitigate risks in AI systems using STRIDE.

Skills you'll gain

Details to know

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This course is part of the Agentic AI Development & Security Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

Secure Your AI: Threat Modeling is an intermediate course for architects and engineers tasked with protecting complex AI systems. This course moves beyond reactive security, teaching you to build resilience directly into your designs. You will master the critical architectural decision of secret management by performing a deep-dive comparison of self-hosted solutions like Vault and managed cloud services like AWS Secrets Manager. You will learn to create a full Total Cost of Ownership (TCO) analysis and use compliance and performance data to make a justifiable, portfolio-ready recommendation.

Next, you'll learn to proactively hunt for vulnerabilities by deconstructing system architecture into Data Flow Diagrams and applying the industry-standard STRIDE framework. This systematic process will enable you to identify and mitigate critical threats like Spoofing and Information Disclosure before they can be exploited. Through hands-on, scenario-based projects, you will draft professional security documents, defend your decisions to a simulated review board, and leave the course with the skills to design, build, and maintain secure AI systems.

This module tackles the critical architectural decision of secret management in AI systems. You will first understand the “why”—the security and operational necessity of a dedicated secret store. You will then learn the “what” of the two primary models: on-premise self-hosted (like Vault) versus managed cloud services (e.g., Secrets Manager). Thereafter, the focus shifts to the “how” of comparing them across TCO, compliance, and operational overhead, and learning how to structure a professional recommendation, culminating in the creation of a justified, portfolio-ready technical recommendation.

What's included

2 videos2 readings3 assignments

2 videos Total 11 minutes

TCO and Compliance: A Cost-Benefit Deep Dive 5 minutes
Architect's Choice: Documenting Your Recommendation 6 minutes

2 readings Total 13 minutes

Cloud vs. On-Prem: The Secret Management Trade-off 7 minutes
Integration and Latency: Prototyping Your Connection 6 minutes

3 assignments Total 35 minutes

Hands-On Learning (HOL): Prototype and Compare Solutions 15 minutes
Hands-On Learning (HOL): Draft the Technical Recommendation 10 minutes
Justification of Secret Management Decision 10 minutes

You have secured your system's secrets. Now, it is time to proactively secure its design. This module shifts focus to threat modeling—the systematic process of securing an AI system by design. You will learn the why behind this proactive approach. You will then master the how of deconstructing an architecture into data flows and trust boundaries and the structured what of applying the STRIDE framework to methodically identify and mitigate risks. The module culminates in the “apply” task of creating a real-world threat model for an agent system.

What's included

2 videos3 readings3 assignments

2 videos Total 8 minutes

DFDs and Trust Boundaries: Decomposing AI Architecture 5 minutes
STRIDE in Practice: Identifying Spoofing and Info Disclosure 3 minutes

3 readings Total 17 minutes

The Power of Proactivity: Threat Modeling in DevSecOps 6 minutes
STRIDE: Your Framework for Systematic Threat Identification 6 minutes
Targeted Mitigations: Countering Spoofing and Info Disclosure 5 minutes

3 assignments Total 41 minutes

Hands-On Learning (HOL): Scan Report Analysis: Diagramming the Chat-Agent 10 minutes
Hands-On Learning (HOL): STRIDE Analysis and Mitigation Plan 15 minutes
Architectural Review and Mitigation Proposal 16 minutes

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Instructor

LearningMate

210 Courses 11,134 learners

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