AI investment is accelerating across every industry, and with it comes a wave of security threats that most organizations are not prepared for. Attackers are actively targeting AI infrastructure through compromised open source packages, manipulated model weights, and backdoored base images. For business and technology leaders, the risk is no longer hypothetical: a single compromised AI pipeline can expose sensitive data, corrupt business-critical outputs, and undermine customer trust. As AI becomes embedded in core operations, the cost of getting security wrong is growing fast.
This webinar gives decision makers a clear picture of the emerging threat landscape targeting AI workloads and why traditional security investments are not enough to address it. We'll explore the real-world consequences of insecure AI infrastructure and what it means for business continuity, regulatory exposure, and competitive risk. You'll hear about where organizations are most vulnerable and what the attackers already know about your stack.
We'll also examine what leading organizations are doing differently to secure their AI investments and build resilient, trustworthy pipelines. This session will help you ask the right questions of your security and engineering teams, evaluate whether your current posture is fit for purpose, and understand what a secure-by-default AI strategy looks like at an organizational level.
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Key Learning Objective
- Recognize the business risks posed by AI supply chain attacks and why they represent a growing liability for organizations scaling AI adoption.
- Evaluate your organization's current AI security posture against emerging best practices and identify where gaps are most likely to exist.
- Make informed decisions about securing AI infrastructure investment, including what to prioritize, what to ask your teams, and what good looks like.
