GEODI DSPM vs Ground Labs Enterprise Recon

GEODI DSPM is a data security posture management platform for discovering, classifying, and governing structured and unstructured data across cloud and on-premises environments. Its AI-powered discovery searches sources such as file servers, Microsoft Teams, S3, MinIO, file shares, and databases. Users can classify Office, SharePoint, OWA, and legacy data manually or automatically, with custom classifications and DLP integration. Workflows can delete, mask, encrypt, or quarantine data across cloud and on-premises systems, databases, and email platforms. GEODI provides visibility into permissions and high-risk access, with consent-based remediation workflows for data owners and DPOs. GEODI Q supports cloud or on-premises LLM deployments, prompt-driven discovery, automated classification, and custom AI assistants. The vendor says it connects to 200+ data sources through adapters and provides an API for integrations and custom development. The web application runs on customer servers; the vendor says internet access is not required to install or run it. Pricing depends on features, data size, and user count and is available from the sales team. The plan is described as an on-premises yearly or 3-year subscription. The vendor describes GEODI DSPM as purpose-built for CISOs, DPOs, and IT managers.

Ground Labs Enterprise Recon discovers and manages sensitive data across structured and unstructured environments to support compliance and data security. It scans on-premises platforms, databases, email, archive storage, cloud services, endpoints, and file servers. Ground Labs says the product includes more than 300 preconfigured personal data types and allows custom patterns. Remediation options include redaction, secure erasure, quarantine, and encryption. Enterprise Recon integrates with Microsoft Purview for persistent classification metadata and provides ODBC integration with compatible applications and business intelligence platforms for analytics. Its PII and PRO editions include a RESTful API for reports, match-location data, remediation actions, and workflow automation. Documented security controls include two-factor authentication, password policies, user roles and permissions, and IP address access controls. Local agent operating systems include Windows, Linux, macOS, FreeBSD, AIX, and Solaris. The product lists requirements including PCI DSS, GDPR, HIPAA, CCPA/CPRA, Singapore PDPA, and others. Licensing limits depend on the model and may use data-volume allowances or target-count and scanned-volume limits. Pricing is on request.