Find Sensitive Data Across Your Environment
One scanner. Unlimited supported hosts, databases, and websites with Seeker Standard.
Sensitive Data Discovery Across Your Environment
Seeker gives security and IT teams one place to discover sensitive information across a wide range of data sources. Choose the scan method that fits the source and manage the results centrally from the Seeker console.
- File Systems & Network Shares: Scan local drives, SMB shares, Windows systems, and remote Mac systems for sensitive file content.
- Relational Databases: Search Microsoft SQL Server, MySQL, Oracle, and PostgreSQL databases for sensitive values stored in tables.
- Microsoft OneDrive: Scan OneDrive content through Microsoft Graph using Seeker’s detection pipeline.
- Websites: Scan accessible website content using unauthenticated, cookie-based, or Windows-authenticated access.
- Windows Search: Perform fast, index-based cursory scans of local or remote Windows systems, including indexed Outlook and OneNote content where available.
- GitHub Credential Exposure: Search public GitHub code for credential-related exposures associated with your organization.


Find Risk, Not Just Matches
Finding a sensitive value is only part of the problem. Seeker helps administrators understand where detections occurred and provides context that can help prioritize remediation.
Results can include the source and path, detection pattern, match counts, configurable match details, path alerts, and—where applicable—Windows permission alerts. Seeker can also perform dedicated NTFS folder permission analysis to help identify broadly accessible or unexpectedly exposed locations.
Scan results are retained so administrators can review historical scans, investigate warnings and errors, export findings, and manage reviewed exclusions.
Built-In Detection. Custom When You Need It.
Seeker includes detection patterns and validators for common sensitive-data types such as Social Security numbers, payment card data, financial identifiers, credentials, and other regulated information.
When your organization has something unique to protect, create custom regular-expression patterns and optionally add validation or companion expressions to reduce false positives.
SSNs • Payment Cards • Financial Data • Credentials • API/SSH Keys • Custom Patterns

Scale Your Scanning, Not Your Licensing Cost
Built for Repeatable Enterprise Scanning
Seeker has completely changed the way we run our DLP service. Previously, we struggled to ensure all assets were being scanned due to cost and configuration difficulties. With Seeker, these challenges are gone.
Chris H.

