OKTA FOR AI AGENTS: SECURING AND GOVERNING NON-HUMAN IDENTITIES AT SCALE: Discover Shadow Agents, Enforce Least Privilege Policies, and Audit AI Access with Okta Identity Security Fabric

Secure AI agents as governed enterprise identities, not hidden automation risks.AI agents can read data, call APIs, trigger workflows, use tools, request tokens, and act across applications. That power creates a serious identity challenge when agents rely on shared accounts, unmanaged OAuth grants, static secrets, overbroad scopes, or unclear ownership.Okta for AI Agents gives developers, identity teams, security engineers, architects, and technical leaders a practical guide to securing and governing non-human identities at scale with Okta-centered identity controls.Inside, you will learn how to discover shadow agents, register agents as first-class identities, design safer authentication patterns, enforce least-privilege authorization, control MCP tool access, preserve user context across applications, and build audit evidence for agent activity.Understand why AI agents must be treated as identity-bearing actorsIdentify risks from service accounts, API keys, OAuth clients, tokens, certificates, and secretsFind shadow agents across SaaS apps, OAuth grants, workflow tools, browser extensions, and MCP serversRegister custom-built and imported agents with owners, lifecycle states, purpose, and decommissioning readinessChoose safer authentication patterns including OIDC apps, client credentials, private key JWT, and token exchangeDesign least-privilege access around tasks, resources, scopes, audiences, claims, and user contextReduce static secret and service account risk in agentic workflowsApply governed cross-app access for delegated agent-to-resource authorizationSecure MCP clients, MCP servers, tools, resource connections, and execution boundariesUse Okta Workflows, access requests, certifications, and exception handling to govern agent accessCorrelate user, agent, token, resource, scope, and action for monitoring and incident reviewBuild an operational program for AI agent intake, risk scoring, suspicious activity response, and continuous governanceThe book includes practical code snippets, configuration-style examples, and workflow-oriented patterns that show how agent inventory, token validation, tool authorization, audit logging, risk scoring, and remediation reporting can be implemented in real projects.Grab your copy today and start building AI agent identity security with clearer ownership, tighter access, and stronger auditability. Read more