JumpCloud - 2026 Pricing, Features, Reviews & Alternatives

JumpCloud is a cloud-based unified platform for identity, device, and access management, serving small and medium-sized businesses, mid-market organizations, and managed service providers across industries including healthcare, wealth management, SaaS, energy, and heavy industrial. Delivered entirely as SaaS with no on-premises hardware required, it provides a single directory that connects users, devices, applications, servers, networks, and cloud infrastructure. Core capabilities include Single Sign-On (SSO) with hundreds of pre-built connectors, Multi-Factor Authentication (MFA) with passwordless hardware-backed authentication, cross-platform Mobile Device Management (MDM) for Windows, macOS, Linux, iOS, and Android, Zero Trust conditional access policy enforcement, Privileged Access Management (PAM), Cloud LDAP and RADIUS, SCIM and JIT provisioning, Active Directory bi-directional sync, and HRIS integrations with platforms such as Workday, Rippling, and BambooHR. Additional capabilities include a Password Manager with cloud backup and shared folders, patch management, full-disk encryption management, Remote Assist for remote device support, SaaS Management with shadow IT discovery, Directory Insights with webhook alerting, time-based access requests, and granular role-based admin permissions. Compliance reporting covers SOC 2, HIPAA, GDPR, and the EU AI Act. JumpCloud extends identity and access governance to AI workloads through a dedicated suite of AI-native features. AI Search and an AI Admin Assistant allow IT administrators to query and manage users, devices, and groups via natural language directly within the Admin Portal. An AI Commands Builder generates reviewable device commands from plain-language descriptions. An MCP Server connects the platform to external AI tools and large language models to automate IT workflows, while an AI Gateway secures connections between enterprise applications and AI clients at the MCP layer using OpenID Connect authentication with full auditability. Agentic IAM discovers, registers, and governs autonomous AI agent identities across the organization, applying Zero Trust governance with human-in-the-loop checkpoints for high-impact actions. Shadow AI discovery automatically detects unsanctioned AI tools and machine identities and enforces access policy. Machine learning-based risk scoring provides real-time anomaly detection for login and access events. All AI features are opt-in by default, and customer data is not used to train AI models. The platform is LLM-agnostic and supports AI model deployment across Windows, macOS, and Linux.