Unstructured data, which constitutes over 80% of enterprise data, represents a massive and often unmanaged security risk. To address this critical vulnerability, Sentra has announced a new AI Classifier for Unstructured Data capability. The solution leverages specialized Small Language Models within its proprietary engine to accurately discover and classify sensitive information hidden within unstructured data, enabling organizations to adopt Generative AI more safely and prevent catastrophic data exposure.
Quick Intel
Sentra launched an AI Classifier for Unstructured Data to prevent sensitive data exposure.
It uses specialized Small Language Models (SLMs) for greater accuracy and efficiency than general LLMs.
The classifier understands full context, including department, industry, and proprietary IP.
It is a continuously learning system that improves without requiring full data rescans.
The technology achieves over 99% accuracy and supports over 70 languages.
It is designed to classify petabytes of data cost-effectively, where other solutions fail.
Traditional Data Security Posture Management solutions often rely on simple pattern matching or computationally heavy Large Language Models, leading to inaccuracies and inefficiencies at scale. Sentra's new capability is engineered to break through these barriers. Its domain-optimized SLMs are designed to fully understand the context around unstructured data, accurately detecting and labeling critical information unique to each organization's finance, legal, HR, and other departments, as well as its proprietary intellectual property.
A key differentiator of Sentra's AI Classifier is its ability to learn and adapt continuously. After an initial scan, the platform automatically learns to identify business-specific data categories without requiring subsequent full rescans. It clusters documents by type using advanced AI, evolving from recognizing common forms like tax documents to highly specialized categories such as pharmaceutical research or proprietary algorithm designs. This continuous learning ensures the classification becomes more granular and accurate over time.
By utilizing compact, efficient SLMs, Sentra's engine drastically reduces computational demand compared to solutions using general-purpose LLMs. This design allows organizations to analyze hundreds of millions of documents cost-effectively and maintain high performance at petabyte scale. The system only re-scans data when the underlying information changes, providing continuous classification improvements without incurring recurring computational costs or performance degradation.
The launch of Sentra's AI Classifier marks a significant advancement in data security for the AI era. By providing unparalleled accuracy, context, and efficiency in classifying unstructured data, it empowers enterprises to identify their most critical risks with confidence. This capability is foundational for securing Generative AI initiatives and implementing automated governance, turning a major vulnerability into a managed and secure asset.
About Sentra
Sentra is the global leader in cloud-native data security for the AI era, pioneering critical data protection that transforms how enterprises safeguard their most valuable asset: data. Unlike traditional data security solutions that offer fragmented protection, Sentra delivers comprehensive critical data security that automatically safeguards both regulated data and proprietary intellectual property across complex multi-cloud and hybrid environments.
The platform's industry-leading DSPM, breakthrough AI Data Security (DSPM for AI) and Automatic Labeling and Remediation capabilities create an intelligent defense system that proactively identifies and neutralizes risks before they impact business operations. By combining advanced data discovery at petabyte scale, precise classification, automated governance, and intelligent threat response, Sentra empowers organizations to confidently leverage AI and data innovation while maintaining uncompromising security.
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