Accel leads $120m series B in US cybersecurity startup Vega

Vega, an AI-focused cybersecurity startup in the US, has raised US$120 million in a series B funding round led by Accel, with participation from Cyberstarts, Redpoint, and CRV.

The funding brings Vega’s valuation to US$700 million and totals US$185 million in funding.

The funding will be used to develop its AI security platform, expand its team, and grow internationally.

The company aims to improve threat detection by integrating security directly into cloud environments and existing data storage systems, bypassing traditional SIEM tools like Splunk.

Vega’s approach is designed to reduce costs and simplify deployment for large enterprises, according to CEO Shay Sandler.

The startup has signed contracts with several Fortune 500 companies, including banks and healthcare firms, citing the difficulty of scaling legacy solutions in cloud environments.

🔗 Source: TechCrunch

🧠 Food for thought

Implications, context, and why it matters.

Vega’s pitch targets the high costs and data silos of legacy security tools

Vega enters a crowded field where tools like Splunk draw complaints about price, setup work, and lock-in. Many security teams then limit which logs they can afford to review 1.
Vega says it can “unchain detection from storage.” It runs analysis on data that already sits in cloud services or existing stores, which avoids migrations or new ingestion into a central repository 2.
The query-in-place approach pushes back on per-gigabyte ingest fees that raise costs for many Security Information and Event Management (SIEM) products 3.
Beyond legacy SIEMs, Vega also competes with other Splunk replacements. That set includes observability vendors like Datadog or Elastic, tools built for app plus infrastructure monitoring that now help teams search and analyze machine data 1.

Amid an AI consolidation wave, Vega’s funding signals a bet on specialized, high-ROI tools

The round lands as investors expect enterprise leaders to raise AI budgets while trimming tool counts to those with clear payback 4.
Backers are wagering that focused security products with cost cuts, including Vega’s goal of skipping pricey SIEMs like Splunk, can stand out as CIOs curb software sprawl 4.
The shift pressures the older practice of pulling all security plus operations data into one platform for review.
It also favors AI analytics that run across distributed sources in cloud or storage systems. Incumbents may answer with decoupled, federated designs that cut the need to move data into one system 5.