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How to translate identity and access data into production downtime risk and financial impact—so executives see the cost of stopped, not a security dashboard.

How to tier supplier risk across complex manufacturing supply chains so the highest-risk vendors—those with direct OT access or intellectual property exposure—get the scrutiny they warrant.

How manufacturers are structuring audit evidence and data management so the certification process protects operations—rather than pulling resources away from them.

Jadee is a strategic CIO and CISO with 23 years of experience driving business success for startups and billion-dollar brands. She boosts revenue and curbs risk through transformative security strategies and leverages deep subject matter expertise to drive meaningful business change. Jadee has deep experience as a security and technology leader and has played a pivotal role in engineering organizations as well as leading AI strategy across the company. Jadee is able to leverage her knowledge to drive meaningful discussions and leave clients with behind the scenes insights and practical next steps for their own strategic directions. 

A step-by-step approach to vetting AI tools before they touch production data, operational workflows, or OT-connected systems—so the business can adopt AI without handing attackers a new attack surface.

How manufacturers are building governance before AI agents create blind spots in production systems—covering discovery tools, ownership models, and lifecycle controls that map to both IT and OT environments.

The Microsoft Copilot ecosystem is rapidly evolving to help organizations deploy AI agents securely and at scale. With new capabilities such as Agent Identities in Microsoft Entra, Agent 365 for lifecycle management and emerging tools like Agent Builder and Cowork, organizations are moving quickly from experimentation to operational use. In this interactive Insight Exchange, designed to help practitioners not only understand the technology, but also learn from each other’s experiences in deploying and securing AI agents at scale, IANS Faculty Shannon Lietz guides you through this rapidly changing environment while creating space for peer discussion and shared learning. Plus, bring your own use cases and walk away with a roadmap for how to start using Microsoft tools to meet your AI Governance needs.

MCP is becoming the connective tissue for agentic AI, creating both opportunities and risks. Opportunity includes the ability for security teams to wire AI straight into their stack and go from a plain-English question to a real answer, or even remediation, in seconds. However, every MCP connection is a new non-human identity (NHI) and a new data path, so the real exposure is less about the model and more about what an agent can reach, tool poisoning and standing access no one is watching. How do we benefit from MCP while managing the risk? Adopt fast, but govern first. During this highly interactive session focused on peer learning and practitioner exchange, IANS Faculty George Gerchow shares his expertise, facilitates discussions and shows a live demo to help you accelerate MCP adoption while managing security risks.

Even before agentic AI, organizations were grappling with explosive growth in privileged non-human identities (NHIs). Challenges included sprawl and unknown inventory, orphaned accounts, over-privileged standing access, hardcoded secrets, and unclear human ownership. Now, agentic AI raises the stakes: agents create identities at runtime, spawn sub-agents and tool calls, and accumulate delegated permissions. In this symposium, IANS Faculty Wolf Goerlich covers NHI security, both what still works and what we must add to respond more dynamically.

Take a look at the practical guidance one financial institution received when it asked IANS how to operationalize AI risk frameworks that align with business goals and regulatory expectations.