Secure Zona helps security teams inventory AI platforms, review agent and custom GPT risk, assess MCP server exposure, control risky browser behavior, and report AI posture in the same operating model used for cloud, SaaS, data and product security.
Assess AI platform settings, project exposure, access controls, governance gaps and risky configuration drift.
Discover AI agents, custom GPTs and related AI assets so teams know what exists, who owns it and where review is needed.
Highlight risky sharing, access, data exposure, weak governance and unmanaged AI agent behavior with clear remediation guidance.
Assess MCP servers for exposed tools, risky resources, missing authentication, unencrypted transport and governance gaps.
AI adoption is no longer limited to a few approved tools. Teams are building agents, connecting copilots, publishing custom GPTs, experimenting with MCP servers and using AI applications through the browser. Secure Zona helps organizations move from scattered AI usage to a governed, measurable AI security posture.
Inventory AI platforms, agents, custom GPTs, projects, MCP servers and browser AI usage patterns.
Review access, sharing, public exposure, data handling, authentication, transport security and governance posture.
Use browser policy for AI apps and sensitive actions like paste, upload, print and download.
Bring AI findings, agent risk and MCP security posture into executive, analyst, owner and compliance reporting.
Inventory projects, custom GPTs and AI assets, then surface configuration, access, sharing and governance findings.
Track agentic AI inventory, review agent risk scores, and help teams understand which agents need security attention.
Review MCP endpoints, exposed tools, resource metadata, authentication, transport security and governance controls without calling tools or reading resources.
Apply app, category, domain and action-aware browser policies to reduce risky AI usage at the point where users work.
Connect AI findings with data security, identity exposure, ownership and relationship context for stronger remediation decisions.
Map AI and MCP findings to relevant control frameworks so AI security posture can be shown in security and audit conversations.
Secure Zona is designed to help teams move from discovery to remediation without creating a separate AI security silo.
Bring AI platforms, MCP servers and browser AI context into the same Secure Zona workspace.
Review AI projects, custom GPTs, agents, MCP servers and relevant metadata in one inventory model.
Use clear severity, risk and remediation language to focus teams on the issues that matter most.
Use browser controls, owner workflows and compliance-aligned reporting to make AI security operational.
We can show how AI security findings, agent inventory, MCP assessments, browser controls and compliance reporting work in the same platform workflow.
