F5 expands AI Security Platform with F5 Workforce AI Security

• 11 Sep 2026
• TM Team
• 0 Comments

F5, the global leader in delivering and securing every app and API, has announced the upcoming availability of F5 Workforce AI Security, a new agentless offering within the F5 AI Security Platform that gives organisations visibility and policy control across workforce AI activity, including employee AI use and actions taken by agents on users’ behalf.

Employees’ use of AI inside enterprises has moved beyond basic prompts and queries. AI assistants and coding agents can now access enterprise systems, call tools, manipulate data, and take actions using permissions granted by their users. According to F5’s 2026 State of Application Strategy Report, 66 per cent of organisations already permit AI to automatically adjust policies and configurations. As employees delegate more work to AI, agents can also gain access to enterprise data, permissions, and systems. In effect, AI can act with borrowed authority. For security teams, that means governing not only which AI services employees use and what data they share but what AI is permitted to do on their behalf.

“Employees aren’t just asking AI questions anymore. They’re handing work to AI agents that can reach into enterprise systems, call tools, and change data on their behalf,” said Kunal Anand, Chief Product Officer at F5. “Workforce AI Security applies intent-based guardrails in the network path to understand the context of AI interactions and enforce policy before risky actions occur. With this addition, the F5 AI Security Platform gives organisations one set of controls across how their workforce uses AI and how they build and deploy AI, wherever it runs.”

Control across workforce AI and agent activity

F5 Workforce AI Security is designed to provide visibility and policy enforcement across workforce AI activity, from employees accessing AI services to agents taking actions on their behalf. Upon availability, capabilities are expected to include:

·       Govern workforce AI use. Discover AI services in use across browsers and developer tools, and apply controls by service, license tier, file upload, and data policy.

·       Understand identity and intent. Attribute AI interactions to users and agents, and capture context including intent, risk, and policy decisions to support enforcement and auditability.

·       Control agent actions before execution. Inspect and classify tool calls across MCP servers and supported agent tools, applying policy to allow, block, or modify actions based on identity, access risk, and sensitive data exposure before they run.

·       Enforce policy in the interaction path. Apply network-based controls across browsers, CLIs, coding agents, MCP clients, and agent harnesses, including self-built tools accessing public model APIs, without requiring another endpoint client and with seamless integration into existing SASE environments.