Innovation vs. Exploitation: Securing the AI-Driven Enterprise
Powered by Wiz & Deloitte
Organizations are under growing pressure to operationalize AI to drive efficiency, innovation, and revenue growth. Yet rapid adoption is introducing new security challenges as AI agents, third-party models, sensitive data, and increasingly complex software pipelines expand the enterprise attack surface. At the same time, AI-enabled adversaries are accelerating the speed of exploitation, rendering traditional 30-day patching cycles and manual alert triage obsolete. How can leaders balance the demand for business acceleration with the need to manage enterprise risk?
Forward-thinking organizations are reexamining how they gain complete visibility across their cloud and AI environments, identify critical attack paths, and accelerate remediation without slowing development. This includes addressing shadow AI, strengthening oversight across hybrid and multi-cloud environments, and moving beyond siloed point tools to address shadow AI, strengthen governance and leverage automated code fixes that remove cognitive burden from engineering teams.As threats evolve, security and technology executives are establishing new operating models that align board-level governance, agility, and measurable risk reduction.
Join industry peers, alongside Wiz and Deloitte, for a closed-door discussion on the realities of securing the AI-driven enterprise. Together we’ll discuss practical experiences managing AI risk, responding to machine-speed threats and balancing developer velocity with security priorities.
Speakers
Snegha Ramnarayan
Naresh Persuad
Discussion Topics
Balancing business velocity with enterprise risk: Navigating board-level pressure to rapidly operationalize generative AI while establishing defensible governance, data privacy guardrails, and compliance across expanding cloud environments.
Eliminating pipeline blind spots to defend at machine speed: Closing critical visibility gaps across unmanaged "shadow AI," model registries, training data, and multi-cloud pipelines to detect and contain threats before adversaries can exploit them.
Modernizing collaboration, automated remediation and operating models: Rethinking the handoff between security, engineering, and leadership—moving from manual alert triage to automated code fixes, and building a cross-functional AI operating model for the
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.
Deloitte is a leading global professional services organization providing audit and assurance, consulting, tax, risk advisory, and financial advisory services. Operating across more than 150 countries and territories, Deloitte helps organizations navigate complex business challenges, embrace digital transformation, strengthen cybersecurity, and drive innovation. With deep industry expertise and a focus on emerging technologies, Deloitte supports businesses in achieving sustainable growth and long-term success.
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