Gartner has issued an urgent call to action on what it identifies as one of the most significant and underappreciated security challenges of 2026: the rapid proliferation of agentic AI systems within enterprise environments, and the complete inadequacy of existing security frameworks to govern them. Agentic AI — AI systems capable of taking autonomous actions on behalf of users, executing multi-step tasks, and operating with minimal human oversight — is being deployed by employees and developers faster than security teams can track, let alone secure.

The security challenge posed by agentic AI is qualitatively different from previous technology adoption waves. When a new cloud application is adopted, it can be evaluated, approved, and monitored through established processes. Agentic AI agents, by contrast, can be spun up by individual employees using no-code or low-code platforms, can be provisioned with access to sensitive systems, can take real-world actions with significant consequences, and can be difficult to audit because their decision-making processes may not be transparent.

Traditional Identity and Access Management systems were designed for humans and, to a limited extent, for service accounts — bounded, predictable entities with well-defined access requirements. AI agents challenge every assumption of this model. An AI agent might need access to dozens of systems to complete a complex task, might require different permissions at different moments, might delegate sub-tasks to other agents, and might have its behavior modified by the data it processes — including malicious data designed to alter its instructions through prompt injection attacks.

The attack surface created by AI agents includes both the agents themselves and the data pipelines they process. Prompt injection attacks — where malicious content in documents, emails, or websites manipulates an AI agent's instructions — represent a new category of threat with no direct equivalent in traditional security. An agent tasked with summarizing emails that encounters a maliciously crafted message could potentially be manipulated into exfiltrating data, initiating unauthorized transactions, or taking other destructive actions.

Gartner's recommended response involves establishing an AI Security Operations function within enterprise security teams, implementing agent registration and governance processes equivalent to those applied to human users, and deploying monitoring solutions capable of logging and analyzing agent actions for anomalous behavior. Organizations should also establish strict limits on the autonomous authority granted to AI agents, requiring human approval for high-consequence actions regardless of the efficiency tradeoff this imposes.