Few technologies are evolving as fast as agentic AI. New models, frameworks, and protocols appear almost weekly. Vendors are racing to outdo each other with autonomous assistants that plan independently, call tools, and complete tasks across system boundaries. Parallel developments, massive growth in use cases, and a lack of standards make it hard for many organizations to respond appropriately. In a survey of 600 CIOs, 84 percent reported that employees are adopting AI agents faster than IT can govern them (Dataiku/Harris Poll, 2026 [1]). Act too late, and you risk uncontrolled shadow AI. Act too cautiously, and you leave productivity on the table.
The good news: the underlying problem isn’t new. An AI agent acting on an employee’s behalf to access applications, data, and APIs behaves like any user with permissions — except it acts without human judgment and at machine speed.
This is exactly where Identity and Access Management (IAM) comes in — as a core discipline of Identity Security. A solid IAM foundation is what makes secure AI agents possible in the first place.
Every Agent Is an Identity
The shift in perspective is simple: the moment a company deploys an AI agent, a new identity is created that needs to be managed. These Non-Human Identities (NHI) already outnumber human accounts by a ratio of 82 to 1, driven by cloud and AI adoption (CyberArk 2025). They require the same rigor as any employee account: unique authentication, clearly scoped permissions, a controlled lifecycle, and full auditability.
The risks are real and well documented. OWASP’s Top 10 lists for non-human identities and for agentic applications describe concrete attack patterns, from prompt injection to the gradual accumulation of excessive permissions. An agent that accumulates too many permissions quickly becomes the most attractive target on the network. Yet 68 percent of organizations still lack identity controls specifically designed for AI agents and non-human identities (CyberArk 2025).
A second layer of risk lies in the agents’ external connections. Through MCP servers — interfaces built on the Model Context Protocol — agents plug in external tools and data sources. Every connected MCP server is an additional access path, and a potential entry point, whether through injected instructions or data leakage. MCP servers therefore need identity controls of their own: authenticated, governed by least privilege, and continuously monitored.
What Today's IAM Solutions Already Deliver
Much of what secure AI agents need, modern IAM platforms already provide. That means effective guardrails can be built today, without waiting for new products.
Workload-optimized authentication gives every agent a verifiable, unique identity instead of hard-coded, long-lived credentials. Least privilege limits what an agent can access. Privileged Access Management (PAM) and short-lived, transaction-scoped tokens prevent permanent, far-reaching permissions. Identity Governance and Administration (IGA) governs the lifecycle from provisioning through recertification to deprovisioning. Identity Security Posture Management (ISPM) starts even earlier: it continuously discovers every identity in the environment — including previously unknown agents and service accounts — assesses their security posture, and uncovers misconfigurations and over-privileged accounts before permission creep becomes a risk. Identity Threat Detection and Response (ITDR) detects anomalous behavior in real time and revokes access immediately.
These building blocks are proven and form the basis for Zero Trust. Organizations with solid IAM foundations already in place are best positioned to deliver the guardrails production AI agents need.
The Next Generation: Gateways, Registries, Policy Engines, and Visibility Platforms
Identity Security keeps evolving. Four new product categories will become part of modern IAM solutions going forward.
AI Security Gateways sit as a control layer between agents and the systems they access. They inspect every action, monitor traffic to connected MCP servers, and log what happens. MCP Registries maintain a controlled directory of approved MCP servers, tools, and data sources, preventing agents from accessing unsanctioned resources unnoticed. AI-powered Policy Engines translate business requirements into machine-readable rules and make context-aware decisions on every individual access request, rather than relying on rigid roles alone. Cutting across all of this are Identity Visibility and Intelligence Platforms (IVIP), a category Gartner introduced in 2025: they bring together human and non-human identity data from every system into a single, unified view — showing which agent can access what, and how permissions evolve over time. Gartner predicts that by 2028, 70 percent of CISOs will use such a platform.
These categories are still young. But organizations can lay the groundwork today: consolidate identity data, document policies clearly, prepare platforms for non-human identities, and define which MCP servers are approved. Get these foundations right, and new capabilities can be integrated later without disruption.
Security as an Enabler
Identity Security isn’t a brake on innovation — it’s the control layer that makes autonomous AI sustainable and trustworthy. It lets organizations move fast with AI agents without sacrificing accountability, resilience, or control. Regulatory requirements such as the EU AI Act, the GDPR, and established frameworks like the NIST AI Risk Management Framework only reinforce this need. The urgency is measurable: Gartner predicts that by 2028, half of all enterprise incident response effort will be spent on incidents involving in-house-built AI applications.
The journey starts with a clear assessment of where things stand. A structured workshop identifies where AI is already in use, what risks exist, and which identity controls are missing — producing a prioritized roadmap that builds on existing strengths. For agents already in production, a deeper technical review of identity and access flows follows. iC Consult supports organizations vendor-independently, from strategy through implementation to operations, bringing 25 years of identity expertise into the AI era.
AI agents will transform the way we work. But they will only be secure where their identity is managed from day one.
