Versa Zero Trust AI: Securing AI Agents & MCP Workflows

Versa is extending zero trust principles to AI agents and Model Context Protocol, or MCP, workflows. The company introduced a patent-pending zero trust architecture that validates every AI-generated action. This validation occurs against user identity, role-based access controls, and system policies before an action is executed. Human approval is required when administrators define it. This move addresses a growing challenge as companies use agentic AI systems. A single prompt can trigger multiple actions, reducing visibility and potentially leading to misinterpretations or unintended actions. Gartner notes that traditional security platforms were not built to secure these new AI agent users. The zero trust MCP architecture is part of Versa Verbo, the company's AI-powered operations co-pilot, and integrates with the VersaONE Universal SASE Platform. This allows for zero trust AI execution with AI-powered event correlation, anomaly detection, and guided troubleshooting. Administrators can define policies in advance, determining which agent actions execute automatically, which need human approval, and which are blocked. All approved actions are logged with full attribution for visibility and auditability. This matters because it allows enterprises to adopt AI-driven operations in production environments without sacrificing control and security.