IG Central vs Rational Governance

IG Central is a self-hosted, single-tenant governance engine for classifying, governing, and searching enterprise content where it already resides. It runs inside the customer’s environment and does not require data migration. Its drill-down LLM classification follows a records taxonomy and extracts typed metadata, sensitivity, and personally identifiable information. The platform enforces retention schedules, supports disposition workflows and policy application, and provides enterprise-wide search, an embedded document viewer, and governance review workflows. Users can inspect classifications, prompts, metadata, and outcomes, then correct classifications; those corrections feed MCP tools for ongoing model refinement. A transactional outbox tracks state changes and is described as crash-safe and fully auditable. Content can arrive through uploads or connected cloud services. Google Drive is available today, while additional connectors are planned. The maker says processing stays inside the customer’s network without public-AI dependency. Pricing is on request.

Rational Governance is an enterprise platform for managing unstructured data where it already resides. It combines file analysis, records management, compliance, privacy, security, and discovery response with initial scans and full ingestion into a unified text and metadata index. Search draws on machine-learning output, regular expressions, text operators, metadata recognition, statistical sampling, and visualizations; the platform also includes supervised classification and unsupervised clustering. Administrators can automate preservation, collection, retention, deletion, movement, copying, monitoring, and alerts. Permissions govern access, and actions and system health checks can be audited and reported. Rational Governance runs behind a company firewall or on Google Cloud Platform, AWS, or Microsoft Azure, with encryption in transit and at rest, SAML 2.0, OAuth, and jurisdictional storage. It integrates with Rational Review and exports standard load-file formats. Pricing is on request; listed pricing approaches include data-volume, user, fixed-fee, and project-based.