Data leaks are costly, risky, and damaging to your business. Most enterprise information is trapped in unstructured formats—emails, chat logs, images, and video—making it hard for traditional data loss prevention (DLP) tools to keep up. That’s why IT professionals are looking for ways to combine DLP with Generative AI to better protect sensitive data and unlock its value.
OpenText Knowledge Discovery gives you the building blocks to do exactly that. Whether you need to embed DLP capabilities into your applications or add GenAI features to white-label solutions, OpenText Knowledge Discovery provides the tools to detect, classify, and secure sensitive information at scale.
Why traditional DLP falls short
Data leaks aren’t just costly—they create risk, damage trust, and can lead to regulatory exposure.
The challenge is that most enterprise knowledge no longer lives neatly in databases. Instead, it’s scattered across emails, chat logs, shared drives, collaboration platforms, and rich media files like audio, video, and images.
Traditional DLP tools were designed for structured data. They often struggle to analyze unstructured formats at scale, which means sensitive information, such as those regulated by PII, financial records, or health data, can remain hidden. Without context-aware detection, teams risk either missing critical exposures or being overwhelmed by false positives.
To overcome these limitations, modern DLP strategies need:
- Comprehensive coverage of unstructured data across thousands of file types
- AI-driven entity recognition to identify PII, PHI, and financial details with accuracy
- Policy-based classification and tagging that supports compliance across GDPR, CPPA, HIPAA, and other regulations
- Flexible integration options so that DLP can extend into existing applications, workflows, and hybrid environments
This is where OpenText Knowledge Discovery provides value: they supply these capabilities as embeddable components, giving IT teams the flexibility to close gaps in their current DLP approach.
Enterprise-ready GenAI for OEM and embedded applications
Generative AI is only as powerful as the data behind it. Most models are trained on generic, public information, which doesn’t always align with enterprise use cases. To deliver reliable results, GenAI needs business content that has been extracted, tagged, and enriched with semantic analytics.
With OpenText Knowledge Discovery, you can prepare enterprise data so GenAI can:
- Answer complex, domain-specific questions
- Summarize lengthy documents and communications
- Identify relationships and trends across diverse data sets
- Support sensitive use cases without exposing private content
This ensures GenAI doesn’t just generate answers—it delivers context-aware insights rooted in your organization’s knowledge.
How OEM partners can prepare content for GenAI workflows
A critical step in modernizing DLP and AI is ensuring enterprise content is GenAI-ready. For OEM developers, this means having data that is clean, compliant, and context-rich before it ever reaches an AI model. OpenText Knowledge Discovery simplify this process by:
- Extracting and encoding content in logical order while preserving context and meaning
- Filtering sensitive or private data so only approved information is used for GenAI training
- Enriching metadata for faster classification, tagging, search, and compliance tracking
By embedding these capabilities, OEM partners can confidently deliver GenAI-powered applications that protect sensitive data while unlocking greater business value.
Scalable, secure tools for OEM developers
Designed for enterprise environments, OpenText Knowledge Discovery make it simple for OEM partners to embed advanced DLP and GenAI capabilities into their applications.
- Scalable and cloud-ready: Deploy quickly and expand as data volumes grow
- Flexible SDKs: Available in Java, .NET, C++, and REST APIs for easy embedding and white-labeling
- AI-ready insights: Prepare enterprise data for large language models (LLMs) and AI workflows directly from repositories—without complex migrations
Seamless integration with enterprise platforms
IT teams and OEM developers can’t afford lengthy development cycles. That’s why OpenText Knowledge Discovery come ready to integrate into existing environments, helping you deliver solutions faster and at lower cost.
- Prebuilt REST APIs for sensitive data scanning and rich media analytics
- Connectors for Microsoft 365, Salesforce, OpenText DAM, and more
- Role-based access controls to maintain security as data moves across platforms
These integration options help OEM partners accelerate their time to market and create value for customers without having to rebuild from scratch.
Bringing DLP and GenAI together for OEM success
When DLP and GenAI work together, enterprises move beyond simply preventing data loss—they unlock intelligence. OpenText Knowledge Discovery gives OEM partners the ability to stop leaks, uncover insights, and turn unstructured data into a competitive advantage.
If you’re ready to explore how these SDKs can support your use cases, reach out to the OpenText OEM Solutions team for a demo or consultation.
Let’s talk
