Tim_Erlin

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AI is making decisions across your environment — calling APIs, accessing data, and taking action. Most organizations know it’s happening, but far fewer can see it, let alone stop it.



In this panel discussion, security leaders will share what they’ve learned deploying and governing AI workloads at scale on AWS, and what it takes to close the gap between deployment and accountability.



The panelists will discuss how AI Control Platform, which combines AI Discovery and AI Hypervisor can give security teams real-time visibility into what AI systems are doing across AWS, and the ability to use blocking, rate-limiting, or quarantine before impact occurs.



Whether you’re still taking inventory of your AI assets, or you’re already looking for enforcement capabilities, this session will bring practitioner perspectives to the challenges your team is navigating now.
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You&#8217;ll learn:
<ul>
<li>How AWS security tools can be augmented to provide runtime AI visibility</li>
<li>How to respond when AI agents behave unexpectedly</li>
<li>What a defensible AI governance posture looks like in practice</li>
</ul>

AI/ML

Cybercast

Who’s watching your AI? A security-leader panel on runtime visibility and accountability

Tim Erlin

TimErlinCol-e1624910495194

Cloud Security

Patch/Configuration Management

Vulnerability Management

News

Secure your cloud environment for long-term success

Paula_Januszkiewicz_performing_in_2019

Content

Security Automation: when, why, and how