Use this when employees use AI assistants for everyday work. Employee access and sensitive-data controls directly address this use case. Browser, endpoint, network, identity, gateway, and agent safeguards appear as additional approaches only when their named circumstances exist. If you are securing an AI application your organization built, choose the applications-and-agents use case instead.
See this use case in the AI activity map → Workforce identity baseline The basics still apply: company-managed sign-in, multifactor authentication, conditional access, workspace roles, connection approvals, periodic access reviews, and rapid revocation. These are baseline enterprise controls, not separate AI-security solution categories.
Discover employee AI use and control access to approved and unapproved AI services. Inspect prompts, responses, and files to prevent sensitive data from moving through AI tools. Discover sensitive company data that AI can access and identify where that data enters AI-enabled business workflows. Additional approaches Open only if one of these circumstances exists Open Hide Employees use a managed browser or extension Employees use AI through a managed browser or browser extension where data and session controls can operate.
Employees use desktop or local AI Employees use desktop AI apps, local agents, coding tools, or command-line tools that browser and network controls cannot see.
Employee AI traffic crosses managed web or cloud controls Employee AI traffic passes through security controls for web, cloud, or business applications.
AI features run inside business apps AI features or approved AI activity inside business applications must be inventoried and reviewed.
AI acts with delegated user access An employee-facing AI can take actions through tools, connections, business applications, or a user's signed-in session.
AI uses machine credentials AI uses service accounts, API keys, machine identities, scheduled tasks, or connections owned by an agent.
AI takes multi-step actions The employee-facing AI performs multiple steps or takes actions rather than only generating content.
Model or tool traffic uses a security gateway Calls to models, tools, or connections are routed through a security gateway, including Model Context Protocol (MCP) connections.
Supporting context
Important foundations that are not separate AI security solutions Approved enterprise AI platforms The approved enterprise AI assistant or workspace whose use, settings, data handling, and cost are in scope; it is not a separate security product.
Workforce identity baseline This is a baseline enterprise control, not a separate AI-security solution area.
Use the research to form your own evaluation This research shows how a solution may address the use case. Product fit, included features, implementation needs, customer references, support, price, and effectiveness in your environment still require your own evaluation.
Compare vendors for this use case →