Sentra, a cloud-native data security platform pioneer, has officially announced the launch of industry’s first Large Language Model (LLM)-assistant for cloud data security called Sentra Jagger. According to certain reports, the stated LLM-assistant comes decked up with the means to enhance capabilities present in Sentra’s core Data Security Posture Management (DSPM) and Data Detection and Response (DDR) platform. This it does by enabling users to promptly address emerging threats and vulnerabilities with real-time insights, and in case that doesn’t sound like much, then we must mention how it also extends its usability to other governance roles such as audit, compliance, and privacy. Owing to the stated expansion, Sentra Jagger will provide holistic visibility into an organization’s security posture so to ensure alignment, effective communication, and improved risk management.
Talk about the product on a slightly deeper level, though, it will generate for you comprehensive insights and recommendations on specific security actions through an interactive and user-friendly interface. Complimenting the same are these customizable dashboards that can be easily created based on user roles and preferences to optimize visibility into an organization’s data. Next up, we have the option to make direct queries about Sentra’s findings, and therefore, avoid navigating through ancillary information or complicated portals. Then, there is the prospect of accessing a rather simplified interpretation of intricate security queries. This is achieved through clear and concise explanations in plain language to empower users across different levels of expertise, helping them take informed decisions at all times. Not just theoretical information, but Sentra Jagger will also deliver actionable steps to identify and remediate issues. Here, the idea is to streamline the incident response process while minimizing downtime, reducing damage, and quickly restoring normal operations. Our final piece of highlight is concerned with Sentra Jagger’s tendency to fit well alongside existing tools in a workflow. This goes a long way to conceive a unified security management experience, an experience which hands you an in-depth view of the organization’s data security posture.
“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 at 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.”
The arrival of Sentra Jagger delivers a rather interesting follow-up to a survey conducted by Omdia, where it was revealed that more than 75% of organizations identify Generative AI (GenAI) as an invaluable asset for strengthening their security posture. But what makes the stated product an ideal proponent to fulfill this growing need? Well, the answer resides in Sentra Jagger’s promise of reducing as much as 80% of the time taken up by tasks like policy implementation and data store reporting so to eventually expedite efforts in regards to investigating and fixing security threats.
“AI holds immense potential to transform our world, but its development and deployment must be accompanied by a steadfast commitment to data integrity and privacy,” said Adam Strange, principal analyst at Omdia. “With the help of LLM assistants, like Sentra Jagger, organizations can ensure cybersecurity best practices are implemented by users in less technical roles including audit, compliance and privacy.”