How do you accelerate AI and cloud innovation without losing control of security along the way?
Recorded live from the show floor at AWS re:Invent in Las Vegas, this episode of Tech Talks Daily features a timely conversation with Kimberly Dickson, Worldwide Go-To-Market Lead for AWS Detection and Response Services. As organizations race to adopt agentic AI, modernize applications, and manage vast cloud environments, Kimberly offers an informed look at why security must still be at the center of every decision.
Kimberly explains how her role bridges two worlds at AWS. On the one hand, customers face prioritization fatigue, fragmented security signals, and growing pressure to do more with fewer resources. On the other hand, internal service teams build products such as Amazon GuardDuty, Amazon Inspector, and AWS Security Hub. Her job is to connect these realities and shape services based on what customers struggle with every day. That perspective sets the tone for a conversation that focuses less on hype and more on practical outcomes.
We explain how AWS approaches security culture at scale, from infrastructure and encryption to threat intelligence collected across Amazon’s global footprint. Kimberly shares how AWS uses large-scale honeypots to observe attacker behavior in real time, feed that information back to detection services, while working with government and industry partners to eliminate active threats. This is a reminder that cloud security is no longer just about protecting individual workloads; it’s about contributing to a safer internet in general.
The conversation also covers new announcements from re:Invent, including the launch of AWS Security Hub, expanded threat detection for EC2 and EKS, and the rise of security-focused AI agents. Kimberly explains how these tools move security teams from manual investigation to faster, more confident decisions by correlating risks across vulnerabilities, identity, network exposure, and sensitive data. The goal is clearer visibility, clearer priorities, and recovery that fits naturally into existing workflows.
We also explore how AWS approaches security in multi-cloud and hybrid environments, why fundamental design principles still matter in an AI-powered world, and how open standards help normalize vendor security data. Kimberly’s reflections on re:Invent itself bring a person close to the episode and highlight the pride and responsibility felt by teams building systems that millions of organizations depend on.
As AI adoption accelerates and security teams are asked to keep pace without slowing innovation, what will it take to help your organization move faster while still trusting the foundations you’re building on?
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