EVERYTHING XIAOMI
Get listed
Side by side

GEODI DSPM vs Ground Labs Enterprise Recon

GEODI DSPM

7.0#2 in data discovery and classification software
AndroidiOSWebAPI
Visit

What both publish

FactGEODI DSPMGround Labs Enterprise Recon
APIDECE publishes detailed GEODI API documentation and sample code through its developer portal.The Enterprise Recon PII and PRO editions include a RESTful API for reports, match-location data, remediation actions and workflow automation.
ComplianceOfficial materials list templates and recognizers for regulations including GDPR, LGPD, KVKK, DPDPA, PDPL, HIPAA and PCI-DSS.Ground Labs lists PCI DSS, GDPR, HIPAA, CCPA/CPRA, the Australian Privacy Act, Singapore PDPA, PIPEDA, Brazil LGPD and India DPDP as covered requirements.
FoundedLinkedIn lists the company founding year as 2015.2007
HeadquartersThe Google Play listing gives the developer address as Tepe Prime İş Merkezi in Çankaya, Ankara, Türkiye.Singapore
Intended usersThe vendor describes GEODI DSPM as purpose-built for CISOs, DPOs and IT managers.The maker identifies data officers, security and risk leaders, compliance and privacy officers, and IT and data administrators as intended users.
RemediationWorkflows can classify, mask, quarantine, securely delete, encrypt or copy matching content.Available remediation actions include redaction, secure erasure, quarantine and encryption.

GEODI DSPM plans

  • Custom subscriptionPriced on request
  • GEODI DSPMPriced on request

Ground Labs Enterprise Recon plans

  • Enterprise Recon PCIPriced on request
  • Enterprise Recon PIIPriced on request
  • Enterprise Recon PROPriced on request

Pick GEODI DSPM if…

The vendor describes GEODI DSPM as purpose-built for CISOs, DPOs, and IT managers. It may suit organizations that need data discovery, classification, and remediation across varied cloud and on-premises sources.

Pick Ground Labs Enterprise Recon if…

Enterprise Recon is aimed at data officers, security and risk leaders, compliance and privacy officers, and IT or data administrators. It may suit teams that need to discover sensitive data across varied environments and apply remediation or classification controls.

Charts they share