Vega Security, an AI-focused cybersecurity startup, has successfully raised $120 million in its Series B funding round led by Accel, bringing its valuation to $700 million. The company aims to revolutionize how enterprises detect and respond to cybersecurity threats in today’s complex cloud environments.
Traditional security tools like Splunk require companies to centralize all security data, which can be slow and costly, especially in cloud environments where data is distributed. Vega Security is taking a different approach by deploying security measures directly where the data resides, whether in cloud services, data lakes, or existing storage systems.
With this new funding, Vega plans to further develop its AI-powered security operations suite, strengthen its go-to-market team, and expand globally. The company’s CEO, Shay Sandler, highlighted that the current model of SIEM technology is not only expensive but also ineffective in complex cloud setups, potentially increasing vulnerability to cyber threats.
By offering a new operating model, Vega aims to empower organizations to utilize their enterprise data more effectively for incident response readiness, leveraging AI-native detection capabilities wherever the data is located. The company’s goal is to simplify the security process and enhance protection without the complexity and high costs associated with current methods.
Sandler, who has a background in the Israeli military’s cybersecurity unit and previously worked at Granulate (acquired by Intel), brings a wealth of experience to Vega Security’s innovative approach to cybersecurity.
Source: TechCrunch