BigID, a leader in data security, privacy, compliance, and AI Data Management, has announced a major expansion of its Autodiscovery capabilities, now extending to AI assets and models. This enhancement marks a significant milestone in securing data across modern environments and fostering secure AI adoption.
Revolutionizing AI Asset Management
BigID’s new capability allows for the automatic discovery and cataloging of AI assets from major platforms, including Azure OpenAI, Hugging Face, and OpenAI. By building a comprehensive AI asset inventory, this technology aims to mitigate risks such as data leaks, breaches, and regulatory non-compliance. These platforms are among the most popular managed AI systems and open-source model repositories, making this development crucial for enterprises utilizing AI.
"BigID pioneered autodiscovery in the cloud, enabling automatic detection of sensitive data across AWS, Azure, and GCP," said Nimrod Vax, Head of Product and co-founder at BigID. "With this latest innovation, our customers can now extend discovery and cataloging to AI data sources, helping ensure they secure their data, stay ahead of AI regulations like the EU AI Act, and bolster their overall security posture."
Key Features of the Enhanced Autodiscovery
The expansion of BigID’s Autodiscovery technology includes several advanced features:
Detection of Unmanaged AI Models: BigID’s classification capabilities now identify and alert users about Large Language Models (LLMs) saved in unstructured environments and code repositories. This applies to any unstructured data source that BigID connects to, across both cloud and on-premises environments.
Detection of Managed AI Models and Training Data Sets: The platform can now detect and catalog managed AI models on platforms like Azure OpenAI, Hugging Face, and OpenAI. Additionally, it can alert users if sensitive information was used during the training process, providing crucial insights for data security and compliance.
Automated Inventory of AI Assets: BigID’s platform now supports automatic inventorying of AI assets, models, and training data sets, including datasets, files, models, and vector databases.
Future Expansion Plans
BigID is not stopping there. In Q3, the company plans to extend coverage to Azure AI and GCP Vertex AI, with further expansion to AWS Bedrock and Databricks expected in Q4. This continuous innovation ensures that BigID remains a leader in AI data security.
Empowering Organizations with AI Data Security
This latest enhancement provides organizations with unprecedented visibility and control over their AI assets. By automating the discovery and cataloging of AI models and associated data, BigID helps enterprises mitigate risks and comply with evolving regulatory requirements. The platform’s ability to comprehensively manage AI assets positions it as a critical tool for enterprises aiming to secure their data in an era of rapid AI adoption.