Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at machine speed.AI agents are the fastest-growing and least-governed class of these machine identities — and they don’t just authenticate, they act. ServiceNow spent roughly $11.6 billion on security acquisitions in 2025 alone — a signal that identity, not models, is becoming the control plane for enterprise AI risk.CyberArk's 2025 research confirms what security teams and AI builders have long suspected: Machine identities now outnumber humans by a wide margin. Microsoft Copilot Studio users created over 1 million AI agents in a single quarter, up 130% from the previous period. Gartner predicts that by 2028, 25% of enterprise breaches will trace back to AI agent abuse.Why legacy architectures fail at machine scaleBuilders don’t create shadow agents or over-permissioned service accounts out of negligence. They do it because cloud IAM is slow, security reviews don’t map cleanly to agent workflows, and production pressure rewards speed over precision. Static credentials become the path of least resistance — until they become the breach vector.Gartner analysts explain the core problem in a report published in May: "Traditional IAM approaches, designed for human users, fall short of addressing the unique requirements of machines, such as devices and workloads."Their research identifies why retrofitting fails: "Retrofitting human IAM approaches to fit machine IAM use cases leads to fragmented and ineffective management of machine identities, running...