A recent Series B investment of $50 million is set to propel startup Sentra to new heights in the field of data protection. The funding will not only boost Sentra’s artificial intelligence capabilities but also expand its coverage across Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and on-premises environments.
Founded by an Israeli Military Intelligence colonel, Sentra aims to help enterprises secure and optimize their data assets. The Series B proceeds will be utilized to enhance enforcement capabilities, introduce native remediation features, and implement data labeling for informed access management on AI platforms like Copilot.
Yoav Regev, co-founder and CEO of Sentra, expressed his enthusiasm for the investment, emphasizing the company’s commitment to rapid growth and customer service. With the backing of the funding, Sentra plans to accelerate its expansion and provide top-notch solutions to its clientele.
Sentra’s data security platform is designed to protect both structured and unstructured data, ensuring comprehensive safeguarding across various types of digital environments. The company’s primary objective is to offer effective and efficient data protection solutions that meet the evolving needs of modern enterprises.
The key importance of accurately classifying data is underscored by Regev, who highlights the critical role of high classification accuracy in safeguarding sensitive information. Enterprises today face mounting pressure to secure their data in light of increasing cyber threats and regulatory demands. Additionally, the growing trend towards data monetization necessitates robust data protection measures that allow for safe and effective data utilization.
To achieve its goals, Sentra aims to maintain a high level of classification accuracy, expand its coverage across different data environments, and enhance remediation and enforcement capabilities. These efforts are integral parts of a holistic system that provides comprehensive data visibility, contextual intelligence, and actionable insights for clients.
One of Sentra’s key objectives is to automate responses to data security incidents, shifting from manual interventions to AI-powered actions. By leveraging advanced technologies such as artificial intelligence and machine learning models, Sentra seeks to achieve more than 95% classification accuracy across various data types without extracting the data from the customer’s environment.
In addressing the challenges posed by on-premises settings and AI models, Sentra follows a dual development approach focusing both on cloud and on-prem environments. With a long-term goal of achieving 99% coverage of enterprise data locations, Sentra is investing in parallel efforts to support diverse data environments effectively and accurately.
Furthermore, Sentra is actively involved in securing AI models, managing permissions, and enabling data labeling for AI tools like Microsoft Copilot and AWS Bedrock. By providing context-aware classification and enforcement mechanisms, Sentra aims to prevent accidental exposure of sensitive data and promote secure data flow into AI environments.
In the coming months, Sentra plans to introduce native enforcement capabilities that allow for autonomous data protection actions such as encryption, masking, and data deletion. With a focus on proactive risk mitigation and continuous improvement, Sentra is poised to evolve into a fully autonomous system that not only detects data risks but also takes intelligent actions to remediate them effectively.
With a solid foundation and a clear vision for the future, Sentra is well-positioned to lead the way in AI-powered data protection and security solutions. The recent Series B investment marks a significant milestone for the company, paving the way for continued innovation and growth in the dynamic field of data governance and security.