Balancing rapid AI adoption with enterprise risk management
Board pressure to operationalize generative AI for efficiency and growth is colliding with security and risk mandates to avoid headline-making breaches and data exposure. Organizations now must reconcile competing priorities at pace: capture top-line benefits from new AI capabilities while preventing sensitive training data, model supply chains, or developer pipelines from creating new attack surfaces. Where is that friction felt most strongly in your organization and which trade-offs are you being asked to accept?
Many teams are responding by rethinking operating models and governance to span people, process, and technology. Common responses include explicit model and data supply chain reviews, centralized visibility across hybrid and multi cloud estates, and the adoption of verified remediation or automation to reduce the latency between detection and action. These approaches aim to preserve developer velocity while putting clear guardrails around model sourcing, data handling, and change management so that risk governance is practical rather than a bottleneck.
Join industry peers to explore how organizations are aligning board governance with engineering decisions, identifying the blind spots that matter most across cloud and pipeline footprints, and evolving threat detection and remediation to operate at machine speed. Bring concrete examples of where collaboration between security and development is working or failing, and leave with a short list of decisions your team could make next to reduce exposure while keeping innovation on track.
About Wiz
Wiz is on a mission to help organizations effectively reduce risks in their cloud and Kubernetes environments. By enabling a new operating model, Wiz empowers security and development teams to build fast and securely across AWS, Azure, GCP, OCI, Alibaba Cloud, and Kubernetes. Our platform is purpose-built to deliver actionable insights that remove critical risks, enabling organizations of all sizes to prioritize security while maintaining agility.
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