TEL AVIV, Israel – Dig Security, recognized as a leader in cloud data security, unveiled significant updates to its Dig Data Security Platform. The primary focus of these enhancements is to provide robust security for Large Language Model (LLM) architectures.
The Need for Enhanced Security
As the adoption of LLMs grows, businesses are increasingly feeding their unique data into these models instead of using generic chatbots. While this offers numerous advantages, it also brings forth security and compliance challenges, especially if the data used contains sensitive information.
Dan Benjamin, Co-Founder and CEO of Dig Security, highlighted the significance of generative AI in 2023. He emphasized the new security challenges that arise when these AI tools access enterprise data. Dig Security’s mission is to offer solutions that let businesses innovate without compromising on data security, privacy, and compliance.
Addressing the Challenges
Mistakes in data handling can be costly. If compromised data enters a model, the only solution is to discard the model and start over. To assist businesses in safeguarding their LLM architectures, Dig Security has introduced several cloud data security features:
- Monitoring Data: Dig’s platform scans every database in a company’s cloud accounts. It identifies sensitive data and displays who can access it. This helps in understanding if sensitive data is being used in AI models.
- Preventing Data Risks: Once AI models are trained, it’s hard to extract data from them. Dig’s real-time data detection allows users to quickly identify potential risks, like personal data being used for training.
- Mapping AI Access: Dig’s tools can show which AI models have access to organizational data and the type of sensitive data they can access.
- Identifying Hidden Data: Dig’s solution can detect sensitive data in databases even on unmanaged virtual machines. It also identifies when a virtual machine is used to deploy an AI model.
These advancements follow Dig’s recent addition of Optical Character Recognition (OCR) capabilities to its platform. The Dig Data Security Platform is the first to merge data security posture management, data loss prevention, and real-time data detection into one platform.
For more details on Dig Security and its offerings, visit Dig Security’s official website.
About Dig Security
Dig Security is dedicated to helping businesses manage and protect their cloud data. As businesses navigate complex cloud environments, Dig Security offers a unique approach to detect data breaches and policy violations. Founded by cybersecurity experts from Microsoft and Google, Dig Security has garnered support from notable investors like Team8, SignalFire, and Samsung Ventures.
