Transforming Threat Modeling with AI Innovation

Guest:

• Meador Inge, Security Engineer, Google Cloud

 Topics:

• Can you walk us through Google's typical threat modeling process? What are the key steps involved?
• Threat modeling can be applied to various areas. Where does Google utilize it the most? How do we apply this to huge and complex systems?
• How does Google keep its threat models updated? What triggers a reassessment?
• How does Google operationalize threat modeling information to prioritize security work and resource allocation? How does it influence your security posture?
• What are the biggest challenges Google faces in scaling and improving its threat modeling practices? Any stories where we got this wrong?
• How can LLMs like Gemini improve Google's threat modeling activities? Can you share examples of basic and more sophisticated techniques?
• What advice would you give to organizations just starting with threat modeling? 

Resources:

• EP12 Threat Models and Cloud Security
• EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw
• EP200 Zero Touch Prod, Security Rings, and Foundational Services: How Google Does Workload Security
• EP140 System Hardening at Google Scale: New Challenges, New Solutions
• Threat Modeling manifesto
• EP176 Google on Google Cloud: How Google Secures Its Own Cloud Use
• Awesome Threat Modeling
• Adam Shostack “Threat Modeling: Designing for Security” book
• Ross Anderson “Security Engineering”  book
• ”How to Solve It” book