Big companies now produce huge amounts of security info spread across clouds, data lakes, but also various storage setups. Instead of chasing it all into one place – like old systems such as Splunk demand – Vega Security skips the move entirely. This startup runs analysis right inside existing data spots, making detection faster without the expense. Its method caught investor interest just when cloud complexity makes traditional methods feel outdated. The shift isn’t about collecting more it’s avoiding movement altogether.
A fresh wave of backing lifts Vega Security higher, as an $120 million boost arrives through its latest funding phase. This surge comes under the guidance of Accel, while Cyberstarts, Redpoint, and CRV step in alongside. Now nearing a seven-figure mark in worth, roughly twice what it stood at before, momentum builds fast.
With funds secured, the tally since launch climbs to $185 million altogether. Global reach sits high on the list, expansion quietly certain across new regions. Teams focused on market presence are set to swell gradually. A platform built around artificial intelligence for guarding digital spaces will keep evolving too.
Vega takes on old-school SIEM systems, built by someone who’s been inside high-stakes cyber ops.
The founder, Shay Sandler, once served in Israel’s military tech units before joining Granulate – later bought by Intel for six hundred fifty million dollars. Centralized data? He sees it differently: bloated bills come with it, true, yet that’s not the worst part. Slower reactions creep in when everything piles into one place. Cloud setups get tangled, harder to manage, more fragile under pressure.
Running right inside current data systems, Vega’s platform handles threat detection and response on the spot. Because it works where information already sits, companies see risks sooner – no expensive shifts or new setups needed. Performance stays strong since protection moves into the environment itself. Overhead drops sharply when tools skip complex rollouts and fit naturally into place.
From day one, the way Vega works sets it apart when stacked up against old-school players such as Splunk – snapped up by Cisco for 28 billion just last year. Instead of growing heavier under massive flows of AI-generated data, its design stays light, while older security platforms buckle under cost and complexity.
It looks promising for Vega, given how quickly they’re gaining ground. Major banks, health systems, and large corporations have already signed deals worth millions – Instacart among them, despite being built on modern infrastructure. What pulls clients in isn’t just speed but what follows: protection that activates fast, skipping long waits typical in enterprise tech rollouts. Minutes now deliver results once expected after years.
Starting with smarter threats, data systems now twist like tangled wires. Vega Security builds a different kind of shield one that lives inside AI itself. Instead of relying on old methods, it spreads detection across many points. This shift means companies might see attacks sooner. Costs tend to shrink when fewer resources get wasted. Flexibility grows because rules don’t need constant rewriting. Protection speeds up without loud alarms or heavy software dragging behind.
