A Leap Forward: Cyera Enhances Its Market-Leading LLMs with Industry-Specific Precision

It’s no secret. Precise data classification forms the foundation of a successful data security program. To ensure this foundation is rock solid, we’re taking another leap forward in classification with the use of AI, further enhancing the power of our custom-built LLMs to achieve greater precision and provide even more granular data context.

Following our groundbreaking introduction of our classification LLMs, we’re now unveiling the next major advancement: Cyera’s industry-specific classification LLMs. These models summarize and capture the essence of unstructured documents with high precision, providing a comprehensive analysis of your data through an industry-specific lens. By integrating industry-specific knowledge, our models grasp the nuances of specialized terminologies unique to sectors like Technology, Manufacturing, Healthcare, Food & Beverage, Real Estate, and more.

We automatically understand your unique data, its context, and its sensitivity better than ever before. This comprehensive insight enables us to detect data risks and exposures specific to your business, and with our new Identity Module, uncover who can access that sensitive information.

Real-World Applications of Cyera’s LLM Advancements

Without Cyera, security teams have to manually define specific classifications for their datasets. This process is time-consuming, requiring teams to define pattern-based rules and making it impossible to identify complex or nuanced information like unstructured documents or sensitive intellectual property. With this method, classification requires endless fine-tuning and false positives are prevalent. This leads to a general distrust of classification results and a shaky data security program foundation. And with data volumes exploding, this method is unscalable.

Cyera’s custom-built LLMs are specifically designed for data security tasks. This specialization leads to our models outperforming general purpose models and being computationally efficient. Our models support every industry, but we wanted to provide some specific examples to better articulate the advantages of our new Industry-specific classification capabilities. 

1. Healthcare: Ensuring Compliance with HIPAA

Healthcare providers manage a vast array of sensitive medical data, including patient assessments, test results, and drug information. Cyera’s healthcare LLM precisely identifies and classifies each document type and the sensitive data they contain. What does this look like in practice? Imagine a large healthcare organization that owns ten hospitals in different countries, some in the United States, some in Australia, and some in Canada. These hospitals process patient data, including health information releases and patient medical records. However, these documents are vastly different in terms of content, structure, and potentially even file type. 

As our LLMs are trained on healthcare-specific data, Cyera can identify and classify these documents with high precision. This enables:

• Compliance with HIPAA and other healthcare regulations
• Protection of patient privacy through accurate detection of sensitive data
• Improved governance over both structured and unstructured medical documents, reducing the risk of data breaches or non-compliance.

2. Technology Sector: Protecting Intellectual Property

Tech companies often handle large datasets across multiple cloud environments, including critical documents such as design files, service agreements, and intellectual property. Think of a multinational technology company with multiple software development teams across different lines of business. These teams all use unique software design documents to meet their specific needs. Because our LLMs are trained on these types of documents, we can identify them even if they are vastly different in style and housed in different datastores like Office 365, Box, or Google Workspace. As a result, Cyera’s LLM advancements provide:

• Accurate classification of intellectual property and sensitive files
• Controlled access, ensuring only authorized identities have permission to view or modify sensitive information
• Reduction of data leakage risks by detecting and securing high-risk assets across cloud infrastructures

3. Food & Beverage: Securing Trade Secrets 

For global food manufacturers, proprietary recipes are among their most valuable assets. Consider a long-standing food and beverage company that has been around for over 100 years. Over time, their secret recipes have made their way into different systems, within different documents, and have changed format dozens of times. Even still, our LLM can detect and classify those recipes with high precision and infer their extreme sensitivity for the organization. Cyera’s LLM technology helps:

• Locate and classify secret recipes, formulas, compounds, and other confidential documents
• Secure these trade secrets, ensuring they remain confidential and are only accessible to authorized personnel
• Protect competitive advantages by safeguarding intellectual property from unauthorized access or theft

These are just a few of the many ways we can solve industry-specific use cases. By delivering precise, context-aware classifications, Cyera’s LLMs not only enhance visibility into your data, but also empowers you to protect it more efficiently and effectively. This results in:

• Improved risk management to help you prioritize risk mitigation efforts by understanding which data poses the highest risk
• Stronger regulatory compliance with various regulatory frameworks by utilizing precise classification that combines the context of the data and its sensitivity
• Greater overall data security tailored to your unique data landscape for comprehensive protection and governance

Try It Today

Precise data classification has never been more critical, and with the power of AI, what was once impossible is now achievable. We invite you to explore how Cyera’s advancements in LLM classification can elevate your data security program. Request a demo today to see these capabilities in action.

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