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September 24, 2025 31 mins

Brian Mendenhall, Worldwide Head, Security & Identity Partner Specialists of Amazon Web Services, reveals the insider framework for transforming enterprise AI security, including the three-pillar approach and partnership strategies that leading companies use to navigate AI governance challenges.

Topics Include:

  • At AWS everything starts with security as core principle
  • Consulting partners follow three-phase model: assess, remediate, then fully manage security
  • Traditional security framework covers threat detection, incident response, and data protection
  • AI compliance spans multiple governance bodies with stacking requirements and regulations
  • EU AI Act affects any company globally if Europeans access their applications
  • Three pillars: security OF AI, AI FOR security, security FROM AI attacks
  • AWS launches AI security competency program with specialized partner categories and certifications
  • Enterprise AI spans five risk levels from consumer apps to self-trained models
  • Legal liability dramatically increases as you move toward custom AI implementations
  • Safety means preventing harm; security means preventing breaches - both critical distinctions
  • Current AI hallucination rates hit 65-75% across major platforms like Palantir
  • Shared responsibility model determines who's liable when AI security tools fail
  • Industry evolution progresses from machine learning to generative AI to autonomous agents
  • Major prototype-to-production gap caused by governance, security, and scalability challenges
  • Successful AWS partnerships require clear use cases, differentiation, and targeted go-to-market strategy


Participants:

  • Brian Mendenhall - WW Head, Security & Identity Partner Specialists, Amazon Web Services


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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