Threat Modeling to Protect Your Generative AI Applications
summary
A practical session on threat modeling specifically for generative AI applications, describing security risks introduced by AI and concrete countermeasures to protect deployed systems. It explains how to set up a threat modeling process and gives a concrete action plan to start threat modeling and secure generative-AI–powered projects.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 7:49Application scope
- 18:25Potential threats
- 25:09Countermeasures
- 37:51Solution evaluation
- 40:16Resources and conclusion
related talks
28mRound Table | Generative AI: Threat or Ally?
44mGenerative AI Security — A Practical Guide to Securing Your AI Application
27mSafeguarding Generative AI Applications: Navigating Security Challenges and Best Pract...
40mSecuring Generative AI: Is it all an Illusion?
45mOverview of Risks, Vulnerabilities and Paths to Safer Use of Generative AI
46mGenerative AI: Cyber resiliency and risk
41mThreat Modelling for ML/AI systems
27mHarnessing Generative AI: Security strategies for next-gen applications