This topic examines how organizations secure and govern autonomous AI agents—covering identity, policy enforcement, observability, auditability and orchestration—and compares SailPoint’s Agentic Fabric approach with other agent‑security and governance solutions. As agentic AI moves from prototypes to production across enterprises, risks around unauthorized access, lateral actions by chained agents, data exfiltration and compliance reporting have made focused governance a priority in 2026. Key vendor categories and tools to evaluate include identity‑centric governance (SailPoint’s Agentic Fabric), enterprise agent platforms (Kore.ai for building and orchestrating multi‑agent workflows with governance and observability), developer frameworks (LangChain for building, testing and deploying LLM‑powered agents), infrastructure visibility and runtime monitoring (Xilos’ agentic infrastructure claims comprehensive visibility into connected services and agent activity), and integrations for knowledge, workflows and audit trails (Notion’s AI‑enabled workspace and Gumnut’s real‑time collaboration and audit features). Trends to weigh when comparing offerings: the convergence of identity and access management with agent policy controls; the need for runtime observability and provenance for incident response and compliance; support for both no‑code orchestration and developer SDKs; and the role of marketplaces and frameworks in standardizing interfaces and telemetry. Practical evaluation points include how each platform enforces least privilege for agents, captures actionable telemetry, supports audit trails and policy testing, integrates with existing IAM and data protection controls, and scales across hybrid environments. This comparison aims to help security, engineering and governance teams choose solutions aligned with operational needs, regulatory obligations and the evolving agent ecosystem.