Vega Security, a cutting-edge AI cybersecurity startup, has secured $120 million in Series B funding to redefine enterprise threat detection.
Led by Accel with participation from Cyberstarts, Redpoint, and CRV, the round boosts Vega's total funding to $185 million and nearly doubles its valuation to around $700 million.
Vega's Decentralized AI Security Breakthrough
Founded just two years ago, Vega runs security operations directly in cloud services, data lakes, and storage systems where enterprise data naturally resides.
This innovative approach sidesteps the pitfalls of legacy SIEM tools that demand expensive data centralization, enabling scalable AI-native detection at the data's source.
Shay Sandler's Journey from Military to Cybersecurity Pioneer
Co-founder and CEO Shay Sandler draws from his time in Israel's elite cybersecurity military unit and as a founding employee at Granulate, acquired by Intel for $650 million.
After a year at Intel, Sandler launched Vega to solve the acute pain points of cloud-era threat detection that plague traditional solutions.
Challenging Giants Like Splunk in a Booming Market
Vega differentiates from Splunk—recently bought by Cisco—which struggles with skyrocketing cloud data volumes and holds customers 'hostage' through centralization.
The startup has rapidly won multi-million-dollar deals with banks, healthcare providers, Fortune 500 firms, and cloud-heavy players like Instacart via seamless, minutes-long adoption.
Sandler emphasizes Vega's 'North Star' of cost-effective, drama-free threat detection deployable anywhere data lives, at enterprise scale.
Accel partner Andrei Brasoveanu highlights how Vega liberates organizations from outdated models that demand operational overhauls or lengthy migrations.
With this capital, Vega plans to advance its AI-native security suite, scale its go-to-market efforts, and expand globally amid rising cyber threats.
This funding signals a shift toward decentralized, efficient cybersecurity, promising enterprises faster responses and lower costs in an era of data explosion.
Maria Lourdes
