Becoming More Comfortable with Risk-Informed Secure AI

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Presented by

Jessie Jamieson, PhD Senior Cyber Risk Engineer CERT Division CMU SEI

About this talk

Emergent technologies like generative AI can sometimes take security professionals out of their comfort zone and challenge preconceived notions about what it means to secure a system or capability. The new challenges that come with securing AI have also forced us to revisit risk and resilience in a threat landscape that has quickly shifted into novel attack spaces. Effectively managing enterprise cybersecurity risks has historically been facilitated by the adoption of robust risk management frameworks, tools, and processes that directly link risks to actions. For this talk, we will illustrate how the concepts that have traditionally afforded us the ability to mitigate and respond to risk through security are the same concepts we can apply to secure capabilities enabled by emergent technologies, including AI. Along the way, we will examine what it is that makes us uncomfortable with AI and discuss concrete steps to take that will make us more comfortable with deploying these capabilities confidently and securely.
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