B2B CIAM in the Era of Agentic AI and NHI

B2B CIAM in the Era of Agentic AI and NHI

Non-Human Identities and AI agents introduce unprecedented challenges in CIAM, demanding innovative security strategies. Explore how the rise of NHIs reshapes cybersecurity, requiring dynamic registration, real-time policy checks, and new standards such as the Model Context Protocol. Uncover how these elements converge with Zero Trust principles to fortify B2B identity management.

Key insights include:

  • The rise of NHIs and their unique governance challenges
  • How Zero Trust must extend to non-human actors
  • Emerging standards like Model Context Protocol (MCP) and dynamic client registration
  • Practical steps for securing human and machine identities at scale

Table of contents

  • Introduction

  • Highlights

  • Overview of AI Agents and NHIs in CIAM

  • AI Agent Classification

  • AI Agents and Non-Human Identities

  • B2B CIAM with Agentic AI and NHIs

  • Adapting CIAM to Manage NHIs and AI Agents

  • Monitoring and Threat Detection for NHI and Agentic AI

  • Agentic AI and NHI B2B CIAM Use Cases

  • Model Context Protocol: Convenience Meets Exposure Use Case 1: Securing MCP servers with OAuth Use Case 2: Consent Management Use Case 3: Access Token Management and Privacy

  • Common considerations

  • Curity Solution Overview

  • Recommendations

Related resources