Webinar Description
Key Takeaways
- Demonstrates how AI assistants can interact directly with identity security platforms using the Model Context Protocol (MCP)
- Features a real-world implementation at FI-TS showing natural-language queries translated into actionable IAM operations
- Covers retrieval of employee data, roles, accounts, permissions, target systems and governance information
- Aimed at IAM professionals, security leaders and decision-makers in regulated industries such as finance and insurance
About the Event
This webinar explores the integration of AI assistants with identity and access management platforms through the Model Context Protocol (MCP). The session presents a technical demonstration of how natural-language queries can be processed and converted into MCP tool calls, enabling direct interaction with the NEXIS identity and authorization platform.
The presentation centres on a production implementation at FI-TS, providing attendees with a practical view of how this integration functions in an enterprise environment. Speakers will show how users can query identity data, including information about employees, roles, accounts, permissions and target systems, without navigating traditional reporting interfaces or submitting service requests.
Identity Governance and AI Integration
The webinar addresses operational challenges common in identity governance programmes: time-consuming manual processes, delayed access to identity data and inefficiencies in compliance reporting. By demonstrating how AI assistants can retrieve contextual answers from identity platforms, the session illustrates an alternative approach to traditional IAM workflows.
Who Should Attend
The session is designed for IAM team leads, CISOs, CIOs, IT managers, security architects and consultants working in identity security. Professionals in regulated sectors, particularly finance and insurance, who are evaluating AI-driven approaches to identity governance will find the content relevant.