DataSunrise vs Ground Labs Enterprise Recon

DataSunrise is a data, AI and database security platform for protecting sensitive information across cloud, on-premises and hybrid environments. Its functions include activity monitoring and audit, data masking, a database firewall, sensitive data discovery, vulnerability assessment and data security posture management. The firewall monitors activity in real time, detects SQL injection and other malicious query patterns, and can block potential threats. Its controls include encryption, request blocking, access restrictions and SQL allow or deny lists. The company says cloud or on-premises installation uses a non-intrusive approach that leaves existing databases and applications unchanged. Published integrations span SQL and NoSQL databases, warehouses, cloud services, storage, business tools and generative AI services. Available monitoring methods vary with database, version and deployment. DataSunrise says it supports compliance efforts for SOX, HIPAA, GDPR and PCI DSS, among other frameworks. It lists Linux, Windows, web and self-hosted availability. Pricing is on request, with a personalized offer following a request; there is no free plan. A 30-day trial is listed, and the firewall page states performance impact of around 5–10%.

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.