Sentra Showcases Small Language Model Capabilities with AI Classifier for Unstructured Data

Sentra is debuting a new AI Classifier for Unstructured Data capability, incorporating specialized Small Language Models (SLMs) within Sentra's proprietary AI classification engine to empower organizations to adopt generative AI (GenAI) faster and avert sensitive data exposures hidden within unstructured data.

According to the company, Sentra's new capabilities allow enterprises to classify petabytes of unstructured data at scale with unprecedented accuracy and efficiency, helping security teams safeguard critical information, prevent sensitive data exposure, and accelerate AI-driven innovation.

While existing vendors rely on simple pattern matching algorithms or generalized, compute-heavy LLMs, Sentra's domain-specific AI SLMs fully understand the context around unstructured data to accurately detect and label critical data.

Unlike traditional DSPMs, Sentra's AI Classifier engine deciphers the sensitive and proprietary data unique to each organization. Each SLM-based classifier is 'domain optimized' to surface the full context of unstructured assets and files by categorizing departments (such as finance, legal, HR and marketing, etc.), industry (healthcare, retail, etc.), geography, ownership (employee, customer, etc.), sensitivity and company-specific intellectual property, the company said.

This segmentation ensures classification accuracy far beyond regex or metadata-based approaches which only identify a match, not meaning.

Sentra AI Classifiers continually learn with every scan, identifying IP and proprietary, business-specific data unique to each customer and industry. After an initial scan, the platform automatically learns to identify proprietary and business-specific data categories without requiring rescans.

This is achieved by understanding the semantic context of all documents in a customer's environment without copying the data and then clustering the different documents by their type, using advanced and continuously learning AI models, the company said.

Sentra's compact, efficient SLMs drastically increase performance and reduce compute demand by an order of magnitude compared to LLMs deployed by other DSPMs. As the Sentra engine evolves, customers see continuous classification improvements and more granular classifications without added costs or rescans, which only occur when the underlying data changes.

These innovations enable organizations to analyze hundreds of millions of documents cost-effectively.

"Generative AI offers incredible potential, but it also introduces new data risks if sensitive or proprietary information isn't properly governed," said Yair Cohen, VP, product and co-founder of Sentra. "Our AI classification engine provides unmatched scale, accuracy, context and adaptability—empowering enterprises to innovate with GenAI safely, responsibly and cost-effectively."

For more information about this news, visit www.sentra.io.