Executive summary — Autonomous AI agents are taking actions on behalf of humans and organisations — booking, buying, deploying, signing. Human IAM models cannot govern them safely. The agentic identity problem is the new category that emerges: agents need their own identities, scoped delegation chains, and audit trails that make AI-driven actions explainable and reversible. Customer service agents that resolve tickets autonomously. Code agents that refactor production systems. Procurement agents that compare suppliers and place orders. AI agents are taking real actions in production environments, and the security industry is racing to catch up. The hard problem is not whether agents can act — they already do. The hard problem is identity: who is the agent acting as, what is it allowed to do, and how is that action traced back to a human or organisation if something goes wrong? Why Human IAM Breaks for Agents Human IAM was designed around a clear model: a person logs in, the system authenticates them, the session represents their authority. AI agents do not fit. They are not humans. They are not the workloads of what is machine identity management either — they take semantically meaningful, business-impacting actions rather than executing predefined code. They occupy a third category that demands its own identity model. Three properties of agents break the human-IAM model. First, agents act on behalf of others — delegated authority is intrinsic, not optional. Second, agents adapt their behaviour based on context — the actions they take are not fully predictable from the credentials they hold. Third, agents operate at machine timescales — millions of actions per day, far beyond what human-approval workflows can sustain. The Three Pillars of Agentic Identity Scoped Credentials Every agent needs an identity scoped to a specific task and timeframe. A procurement agent gets credentials valid for one purchase order, not unlimited access to the procurement system. The scope should be machine-readable, automatically enforced, and short-lived by default. Static API keys with broad permissions are the agentic-identity equivalent of leaving the front door open. Delegation Chains Every agent must carry an unambiguous delegation chain — the human or organisation on whose behalf it acts. Multi-step delegation (agent A delegates to agent B which calls service C) must be traceable end-to-end. Without this, an autonomous action with consequences (a financial transaction, a policy change, a customer communication) cannot be attributed back to an accountable party. Audit and Reversibility Every action an agent takes must be logged with enough context for a human reviewer to understand intent and impact, and reversed if necessary. The audit trail is what makes agentic deployments survivable in regulated industries. The AI agent identity governance — permissions, audit, revocation article walks through the governance model in detail. Where Agentic Identity Sits in the Stack Agentic identity is a third domain alongside human IAM and machine identity, but the boundaries blur. An agent often runs as a workload (machine identity), acts on behalf of a human (human IAM), and consumes APIs (API identity). The right pattern is convergence: a single identity platform that handles all three under one policy engine. This connects directly to Zero Trust identity and IAM — Zero Trust principles apply to agents at least as strongly as they apply to humans. Looking at the platform layer? eMudhra's SecurePass agentic identity governance delivers scoped credentials, delegation chains, and audit-grade governance for AI agents — alongside workforce, customer, and machine identity in a single platform. The Regulatory Backdrop Regulators are beginning to draft expectations for agentic systems. The EU AI Act covers high-risk AI deployments. NIST AI Risk Management Framework provides voluntary guidance in the US. India's DPDP Act creates accountability requirements that apply transparently to agent-driven processing of personal data. Enterprises deploying agents at scale need governance frameworks aligned to these regulations, and identity is the foundation that governance rests on. Tags: Machine & Agentic Identity Identity and Access Management About the Author eMudhra Limited eMudhra Editorial represents the collective voice of eMudhra, providing expert insights on the latest trends in digital security, cryptographic identities, and digital transformation. Our team of industry specialists curates and delivers thought-provoking content aimed at helping businesses navigate the evolving landscape of cybersecurity and trust services with confidence.