BigID introduces AI Data Lineage for transparency in the use of AI | Best course on large language models online free | Large language models wiki | Large language models course | Turtles AI
BigID has launched AI Data Lineage, a solution that provides organizations with complete visibility into how AI models access, process and use data, improving risk management and regulatory compliance.
Key Points:
- Comprehensive inventory of AI models, including third-party models.
- Mapping of data sources and identifying sensitive data.
- Visualization of data flows through AI pipelines.
- Alignment with regulations such as GDPR and CCPA.
In the context of growing AI adoption, BigID has introduced AI Data Lineage, a tool designed to provide organizations with a detailed understanding of the interactions between AI models and data. This solution catalogs all AI models in use, including proprietary and third-party models such as ChatGPT and Gemini, providing a centralized view of AI activity. By mapping data sources, it is possible to identify when AI models are accessing sensitive information, such as personally identifiable data, facilitating proactive risk mitigation. Visualizing data flows through AI pipelines, from ingestion to inference, enables an intuitive understanding of data transformations. Additionally, AI Data Lineage supports alignment with evolving regulations, such as GDPR and CCPA, helping to ensure compliance and strengthen enterprise data governance. According to Dimitri Sirota, CEO of BigID, the solution provides the visibility needed to effectively manage AI usage, ensuring sensitive data is protected and AI models are used responsibly. With the introduction of AI Data Lineage, BigID aims to address critical data security and privacy gaps, enabling organizations to harness the power of AI without compromising data protection.
BigID continues to drive innovation in data security and governance, offering solutions that address the emerging needs of organizations in the AI era.