Sentra, a cloud-native data security platform pioneer, today announced Sentra Jagger, the industry's first Large Language Model (LLM)-assistant for cloud data security. This new capability enhances the functionality of Sentra's core Data Security Posture Management (DSPM) and Data Detection and Response (DDR) platform by enabling users to promptly address emerging threats and vulnerabilities with real-time insights, as well as extending its usability to other governance roles such as audit, compliance and privacy. This expansion advances the holistic visibility into an organization's security posture, ensuring alignment, effective communication and improved risk management.
There is a strong urgency for security teams to implement tools and strategies that can protect data and keep pace with emerging cyber threats. According to a survey by Omdia*, nearly 75% of organizations identify Generative AI (GenAI) as an invaluable asset for strengthening their security posture. Sentra Jagger is an AI-powered data security assistant that helps analyze and respond to security threats quickly, reducing as much as 80% of the time required to accomplish tasks, such as policy implementation and data store reporting. By reducing the time needed to investigate and fix security threats, Sentra Jagger improves overall operational efficiency and fortifies security measures.
"AI has the potential to revolutionize security, but it also poses new challenges and risks, forcing security teams to keep up with the latest threats and best practices," said Yair Cohen, co-founder and VP of product, Sentra. "Our LLM helps facilitate this process by seamlessly embedding within the product interface, providing users with the roadmap needed to simplify and speed data investigations. Users can easily pivot between Sentra Jagger and platform screens, making it easy to use across teams without compromising operational speed or access to relevant information."
Security teams can use Sentra Jagger to get insights and recommendations on specific security actions through an interactive, user-friendly interface. In addition, customizable dashboards can be easily created based on user roles and preferences to optimize visibility into an organization's data. With Sentra Jagger, users can also make direct queries about Sentra's findings, eliminating the need to navigate through ancillary information or complicated portals.