Assess AI inventory, agents, identities, permissions, connected data, tools, sharing, guardrails and governance across Microsoft, OpenAI, Salesforce, AWS, Google and Anthropic environments.
Every platform exposes different objects and controls, but the security questions remain connected: what exists, who owns it, which identity it uses, what it can reach, what data is involved and whether governance evidence is strong enough.
Review Copilot and agent inventory, makers and owners, connectors, sharing, identities, data access, environment controls and Azure AI configuration.
Assess workspaces, projects, custom GPTs, assistants, members, roles, sharing, connected services and the governance of enterprise AI adoption.
Review agent inventory, business ownership, topics and actions, permissions, connected Salesforce data, integration paths and deployment governance.
Scope provider-specific reviews around AI services, agents, models, identities, projects, data connections, guardrails, MCP integrations and compliance needs.
Coverage is agreed before the engagement so findings reflect the controls and evidence actually available in your environment.
Scope can include asset and agent discovery, configuration, sharing, identities, permissions, sensitive-data access, connected tools, MCP exposure, guardrails, compliance mapping and prioritized remediation.
Yes. Engagements can focus on one platform such as Microsoft Copilot, ChatGPT Enterprise or Salesforce Agentforce, or compare posture across a wider AI estate.
Yes. A point-in-time baseline can transition into the Secure Zona platform or a managed posture reporting service for ongoing review.
