Organizations face growing challenges in protecting sensitive data across an expanding mix of file formats and use cases. Proactive DLP, one of the core detection technologies powering MetaDefender Core, now delivers enhanced capabilities that improve content visibility, detection accuracy, and response flexibility. These updates help teams enforce data security policies more effectively, whether to meet compliance requirements, mitigate insider risk, or maintain tighter control over data movement.
Metadata Tagging for Enhanced File Control
Proactive DLP can now embed metadata tags into PDF, Word, PowerPoint files and common image formats. These tags allow downstream systems such as document management platforms, SIEM solutions, or custom workflows to recognize and act on files containing sensitive content. This enables organizations to trace, filter, or apply policy enforcement based on content classification more effectively.
AI-Powered Scanning Expanded to Office Files
AI scans are now available for Word and PowerPoint files. By applying natural language processing and pattern recognition techniques, it identifies sensitive information that may not follow predefined formats. This expands detection coverage to nuanced, unstructured disclosures in business documents, improving accuracy without relying solely on pattern-matching rules.
Redaction Support for JSON Files
Proactive DLP supports redaction within JSON files. This capability ensures that sensitive values can be removed or masked while preserving file structure and syntax integrity, which is critical for API responses, logs, and configuration files. Redaction ensures exposed content is neutralized before files are moved, stored, or shared.
Expanded Format Support: MDB and ACCDB
Support for Microsoft Access file types (MDB and ACCDB) has been added. These formats are often overlooked but can carry high-risk datasets, including customer records or exported reports. With this update, Proactive DLP scanning extends into these structured data containers, providing visibility and control without requiring format conversion.
Predefined Detection for Indian Government IDs
Indian PAN and Aadhar card numbers are now available as predefined detection types. These formats are widely regulated and commonly targeted in fraud and identity theft cases. Including them as standard options allows organizations operating in or working with India-based data to apply accurate and compliant protection without manual configuration.
Extending Data Protection Coverage
These enhancements continue to extend the reach and precision of Proactive DLP, one of the core technologies within MetaDefender Core. With broader file support, smarter detection techniques, and more flexible content control, security teams are better equipped to handle the nuances of modern data flows, whether in regulated business documents, developer files, or operational content types that often fall outside traditional scanning.
As organizations adapt to more distributed and document heavy workflows across increasingly complex data environments, these updates help ensure sensitive content stays protected while allowing business to move forward without disruption.
Additional Resources
Ready to get started with Proactive DLP? Check out these helpful resources:
- Visit opswat.com/technologies/proactive-data-loss-prevention
- Upgrade to Proactive DLP™ v3.0.0
- Learn more about other advanced Proactive DLP features:
- DICOM anonymization
- Not Safe For Work (NSFW) content detection
- Classify PI/PII with OCR and enhanced AI
Have other questions? Reach us at support@opswat.com.
