Discover, assess and govern AI agents before risk becomes invisible.
Secure Zona AI-SPM creates a connected inventory of AI platforms, models, agents, custom assistants and MCP servers, then brings configuration, identity, sensitive-data access, browser use and compliance evidence into one review workflow.
Answer the questions an agent inventory alone cannot.
Knowing that an agent exists is only the start. Secure Zona helps teams understand the identity behind it, its effective access, the data and tools it can reach, how it connects to other applications and which owner must make the risk decision.
Who built and owns it?
Record creator, owner, business purpose, lifecycle state and review accountability.
Which identity does it use?
Connect agents to human, service and non-human identities and review excessive access.
What can it reach?
Map applications, tools, data and connected resources to understand practical blast radius.
Which combinations matter?
Prioritize compound exposure rather than treating every configuration flag as equal.
Move from discovery to continuous AI governance.
The operating sequence matters: establish an accurate inventory, resolve ownership and access, prioritize connected exposure, then apply policy and reporting.
Inventory AI platforms, services, agents and MCP servers
Connect identities, permissions, data, tools and business ownership
Review configuration and relationship findings in context
Apply browser controls, owner workflows and compliance reporting
Assess the AI platforms your teams are adopting now.
Secure Zona supports focused reviews for enterprise AI services and agent platforms, with scope adapted to the provider’s inventory, permissions, sharing, data access, findings and governance model.
Microsoft Copilot and AI Foundry
Copilot agents, Studio inventory, access, connectors and Azure AI posture.
OpenAI and ChatGPT Enterprise
Projects, custom GPTs, assistants, sharing, identities and governance settings.
Salesforce Agentforce
Agent inventory, permissions, connected data, actions and business ownership.
AI-SPM questions
What is AI security posture management?
AI security posture management, or AI-SPM, continuously discovers AI assets and agents, evaluates configurations, identities, permissions, data access and guardrails, and helps teams remediate and report AI risk.
How does AI agent security differ from traditional application security?
AI agents can hold identities, call tools, access data and take actions across connected systems. Agent security therefore requires inventory, ownership, effective-access analysis, relationship context and governance beyond conventional code scanning.
Does Secure Zona assess MCP servers?
Secure Zona can assess MCP server posture including discovery, exposure, authentication, transport, declared tools and resources, and governance metadata without invoking tools or reading protected resources.
