Granica Screen is a data privacy platform. It helps data teams detect, classify, and protect sensitive information in cloud data lake files - without sampling - so you can mitigate breach risk and safely unlock more data for in-house training and external generative AI services.
Generate reports for sensitive information at the field level inside your cloud data lake file, especially data sets with high potential ML and AI value.
Mask and de-identify inside structured, semi-, and unstructured data at the field level, creating safe file copies ready for downstream processing.
Improve model performance and accuracy by adding more training data and information while maintaining data privacy and compliance.
Prevent sensitive data leaks by replacing PII in LLM prompts with synthetic data, enabling the safe utilization of generative AI.
With Granica Screen, you can confidently handle the accelerating scale of data in your cloud data lakes. This allows you to mitigate privacy, security, and compliance risks while you enable teams to build better AI, faster.
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The Granica Screen data privacy platform delivers 5-10X higher compute efficiency, which lowers infrastructure cost per byte scanned vs. traditional approaches and enables cost-effective scanning of broad data sets rather than limited sampling. Similarly, ultra-efficient masking and de-identification unlock 5-10X more data for safe use in model training for a similar total cost to alternatives. Use Screen real-time in the application write path to further mitigate breach risk and enable immediate use for training or other needs.
Data types and classifiers supported
Granica supports a wide range of AI/ML/analytics data types and classifiers (e.g., phone number, SSN, VIN, etc.). Bring us your unique requirements, and we can customize it for your use case.
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No. Granica Screen is typically granted read-only access to private files. It reads and transforms sensitive information such as PII in those files using various de-identification techniques and then stores safe-for-use copies in a separate target bucket.
Granica Screen provides state-of-the-art named entity recognition (NER) accuracy for 50+ entities and global support for 100+ languages. High accuracy is the critical foundation of real data privacy, enabling truly safe and compliant use in ML and generative AI.
Screen is also is highly compute-efficient, lowering the cost to side-scan data by 5-10X, thus increasing the volume of data you can unlock for training by 5-10X at comparable costs. Finally, Granica Screen continuously monitors your data lake to detect and protect sensitive information and PII in new files immediately after they land.
Yes, both products are built on the Granica platform and are fully compatible with one another. You can maximize your benefits by using them together. For example, a common pattern is to first use Granica Screen to generate safe-for-use file copies in a target bucket. Then, using Granica Crunch on that target bucket minimizes the cost of storing and accessing those copies.
Unlock even more data for AI/ML teams to safely improve model performance, whether for private LLMs and generative AI or traditional AI and machine learning. The Granica Screen data privacy platform reduces breach and compliance risks while simultaneously improving the efficiency of downstream AI workflows.