High-level platform overview covering architecture diagrams, traffic interception concepts, policy-based controls, visibility and monitoring tools, risk mitigation approaches, and the governance model for enterprise GenAI adoption. Ideal for executives, stakeholders, and anyone seeking a comprehensive understanding of how SurePath AI secures and governs GenAI across the organization.
Deployment guide for new tenants. Covers admin user creation with role-based access, SSO integration (Microsoft Entra ID or any OIDC/SAML provider), SCIM directory sync for automatic provisioning, network integration options (SASE vs Proxy PAC), default monitoring setup, and recommended baseline policies for public services and the Private Portal.
Route GenAI traffic to SurePath AI using existing infrastructure. Choose SASE integration (Zscaler, Netskope, Cloudflare) for proxy chaining, or Proxy PAC URL deployment through MDM platforms (Intune, Jamf, Google Workspace, Rippling, Active Directory Group Policy). Includes PowerShell deployment scripts, PAC customization options, authentication methods, verification with ready.surepath.ai, and manual testing for POC.
Complete policy model documentation covering Default and Group Policies with least-privilege design, risk assessment levels for prompts and responses, intent classification for context-aware enforcement, Sensitive Data controls with enforcement actions (block, redact, mask, warn, monitor), license type management for ChatGPT and Copilot, and the Public Service Catalog for evaluating GenAI services before allowing or blocking them.
Monitor GenAI usage and export data for analysis. User Activity supports event-level investigation with advanced filtering and CSV export. Insights provides analytics across Public Services, Risk, Adoption, and Private Portal, with drill-through, PDF export, and scheduled subscriptions. Telemetry documentation covers exporting events to AWS S3, Splunk HEC, and HTTPS destinations for SIEM integration and compliance retention.
Deploy the Private Portal with private AI infrastructure. Covers enabling private models (Azure OpenAI, Google Gemini, AWS Bedrock), connecting enterprise data sources (Confluence and SharePoint Knowledge Bases with RAG), configuring automatic refreshes, and assigning models and data sources to user groups via policy. Includes end-user portal navigation for secure, governed private GenAI operations.
Troubleshooting resources and answers to common questions. Includes FAQ coverage for intercept issues, deployment challenges, policy configuration, compliance frameworks (GDPR, HIPAA, PCI, SOC2, FedRAMP), and Private Portal functionality. Also covers HAR file collection, AWS CloudFormation stack updates, Azure Entra SCIM recovery steps, and Help Center login guidance for faster issue resolution.
Documentation undergoing review before final categorization and placement. Includes articles on intent classification rules, PowerShell deployment script variations, and integration troubleshooting procedures that are being finalized before moving to their permanent collection locations.