Today's enterprises produce vast quantities of security data, yet traditional platforms such as Splunk still force organizations to consolidate all that information into a single repository before threats can be identified. This method is not only slow and expensive, but it is also struggling to keep pace with modern cloud ecosystems, where data volumes are surging and information is distributed across numerous locations. Vega Security, an AI-driven cybersecurity startup, is aiming to reverse this model by performing security analysis directly where data already resides—integrating with cloud services, data lakes, and current storage infrastructure.

A recent funding round led by Accel, with involvement from Cyberstarts, Redpoint, and CRV, has elevated Vega’s valuation to approximately $700 million, nearly doubling its previous worth. The investment brings the company’s total funding to $185 million, which will support further development of its AI-native security operations platform, expansion of its sales and marketing teams, and global growth initiatives. According to Vega, the conventional centralized approach often heightens vulnerability to attackers in intricate cloud settings. “Our goal is to empower organizations to achieve AI-native detection and response capabilities wherever their data exists, and at any scale,” the company stated.

Vega’s founder honed his expertise in the cybersecurity unit of the Israeli military before becoming one of the early team members at Granulate, a company later acquired by Intel for $650 million in 2022. After a year at Intel, he resolved to pursue a significant venture in the cybersecurity industry.

This background helped capture the interest of Andrei Brasoveanu, a partner at Accel. Equally compelling was Vega’s bold vision for security management in a sector long commanded by Splunk. Existing solutions are unable to handle the dramatic surge in data volumes fueled by AI adoption. “Splunk and every competitor that followed has always relied on centralizing data, which essentially locks the customer into a constrained model,” Brasoveanu noted. Still, dissatisfaction with the status quo does not always translate into action—a challenge familiar to any startup seeking enterprise adoption. That is why Vega’s guiding principle has been to create not just a more affordable and effective threat detection tool, but one that is straightforward to deploy. “We aimed to make it seamless, enabling even the largest and most complex global enterprises to adopt it in minutes, without disruption,” the founder explained.

Vega’s strategy appears to be gaining traction. The 100-person startup has secured multi-million-dollar agreements with banking institutions, healthcare providers, and Fortune 500 companies, including cloud-intensive businesses like Instacart. “The fact that these organizations would partner with a startup just two years old underscores how acute the problem is. Other solutions demand that enterprises overhaul their operations or undertake years of data migration, which isn’t practical,” the founder added. “Vega offers a plug-and-play solution that delivers immediate detection and response value.”