Ground Labs Enterprise Recon

Overview

Ground Labs Enterprise Recon is a data discovery and management product for locating sensitive information across varied business systems. It is best suited to security, privacy, compliance and IT teams responsible for broad data estates. Its combination of discovery, classification and remediation makes it a substantial option; the right license depends on how many targets and how much data the organization needs to scan.

Key features

Enterprise Recon scans on-premises platforms, databases, email, archive storage, cloud services, endpoints and file servers, covering structured and unstructured data. Sources also include local storage and memory, network storage, websites and SharePoint. That breadth helps teams look beyond databases for sensitive information, but it makes target counts and scan volume important inputs to deployment planning.

The product includes more than 300 preconfigured personal data types and supports custom patterns and classifications. Rule-based classification automation can help apply consistent handling, while Microsoft Purview integration applies persistent classification metadata. This combination suits organizations that want discovery to feed an ongoing classification process rather than stop at an inventory.

Remediation options include redaction, secure erasure, quarantine and encryption, giving teams choices for responding to discovered data. ODBC integration connects compatible applications and business intelligence platforms for analytics. The Enterprise Recon PII and PRO editions add a RESTful API for reports, match locations, remediation actions and workflow automation; buyers needing those capabilities should weigh the PII and PRO editions against PCI, which has basic reporting.

Documented local agents support Windows, Linux, macOS, FreeBSD, AIX and Solaris. Security controls include two-factor authentication, password policies, user roles and permissions, and IP address access controls. Ground Labs identifies PCI DSS, GDPR, HIPAA, CCPA/CPRA, the Australian Privacy Act, Singapore PDPA, PIPEDA, Brazil LGPD and India DPDP as covered requirements, a broad compliance range for teams working across jurisdictions.

Pricing

Enterprise Recon is paid, with custom pricing. Licensing uses either a sitewide data-volume allowance or limits on target counts and scanned data volume, depending on the license model. Those terms make expected coverage central to the purchase: a license that fits a narrow assessment may not suit an expanding estate.

• Enterprise Recon PCI: PCI data types, remediation and basic reporting. Target and data usage are subject to the license. It is the focused choice for PCI work, but gives up the broader PII features, data access management, ODBC reporting, risk scoring and labeling offered by PRO.
• Enterprise Recon PRO: PCI and PII features, data access management, ODBC reporting, risk scoring and labeling. Target and data usage are subject to the license. It suits teams that need analytics and risk-oriented handling alongside discovery.
• Enterprise Recon PII: full built-in and custom data types, an API framework and remediation, with target and data usage subject to the license. It is the fit when broad data-type coverage and workflow integration matter.

All three plans have custom pricing, so buyers should match their required data types and integrations to a license model and confirm the applicable usage allowance. Ground Labs directs customers needing deployment assistance beyond documented system parameters to its Support Team.

Platforms

Enterprise Recon supports API, Linux, macOS, self-hosted, web and Windows environments, with hybrid deployment. Its documented local-agent support for FreeBSD, AIX and Solaris extends the operating-system reach beyond the main platform list.

Who it's for

Ground Labs identifies data officers, security and risk leaders, compliance and privacy officers, and IT and data administrators as intended users. The product is especially relevant when those teams must discover and manage personal data across mixed storage and application environments, then classify or remediate it. It is less suitable for buyers who cannot establish likely target counts or scan volume before choosing a license.

Pros and cons

• Pro: Broad coverage across structured and unstructured sources helps address sensitive data outside databases, including email, archives, endpoints and cloud services.
• Pro: More than 300 built-in data types, custom patterns and Microsoft Purview integration support both broad discovery and persistent classification.
• Pro: Redaction, secure erasure, quarantine and encryption provide several ways to act on findings.
• Con: Target and scanned-volume limits vary by license model, so large or changing estates need careful scope planning.
• Con: Custom pricing makes direct budget comparison difficult before the organization has defined its required coverage and edition.

Alternatives

Compare data discovery and classification software if you want to evaluate this category broadly. Consider Thales CipherTrust Data Security Platform if a free-forever Community Edition and a free trial are priorities. Ketch Consent Management is a better fit for consent management when a free plan capped at 5,000 monthly unique users and two integrations meets your needs.

Strac Data Classification is another paid option, with scope-based quoted pricing depending on surfaces, integrations, data volume and in-scope employees. Consider Transcend Data Discovery and Classification if Android and iOS support are important. Teleskope Understand is a paid alternative whose pricing is by sales contact; Varonis Data Discovery and Classification is another paid, quote-priced choice. MIND Data Discovery is a paid alternative for web, Windows, macOS and Linux. Choose Netwrix Password Secure if its password-security focus is closer to your need; self-service pricing starts at 60.00 USD per year, with a one-year minimum commitment.

Verdict

Enterprise Recon is a strong choice for enterprise teams that need wide sensitive-data discovery, classification integrations and multiple remediation paths across varied environments. Its central advantage is the breadth of sources and response options; its main drawback is that license-specific volume and target limits require careful scoping, while pricing is custom. Choose it when those capabilities align with a clearly defined deployment; look elsewhere if a straightforward, readily comparable price or a narrow data-discovery need matters more.