Israeli-American AI-native security analytics platform Vega grabbed $65M in threat detection funding as Accel and Redpoint backed its mission to replace outdated SIEM tools in global cybersecurity.

Vega, founded in 2024 by former Intel engineers and Israel Defense Forces’ Unit 8200 veterans Shay Sandler and Eli Rozen, wants to solve one of the biggest problems in cybersecurity: outdated Security Information and Event Management (SIEM) tools.

SIEM platforms were once the backbone of enterprise defense. They collected logs and security data in one massive storage system for later analysis. That approach worked when data volumes were small. Today, companies generate terabytes of data every day from cloud platforms, SaaS apps, and legacy systems. Feeding all of that into a single SIEM repository has become painfully slow, expensive, and ineffective.

Sandler said that the average security team wastes nearly two-thirds of its time just searching for the correct information in logs. “The teams aren’t to blame; it’s the broken, costly architecture,” he said. “Vega flips the model. We analyze data in place and use AI to highlight the most urgent threats, giving teams speed, clarity, and coverage.”

How Vega’s Platform Works

Vega calls its technology a “security analytics mesh,” or SAM. Instead of funneling all data into one spot, Vega connects directly to different sources and analyzes data where it already exists. This federated approach enables faster investigations and reduces blind spots.

The Key features include:

AI-powered analytics that detect gaps in real time.
Natural language tools that let analysts ask questions in plain English.
Automated posture optimization that keeps defenses up-to-date.
Reduced false positives, so teams focus on real threats.

The platform already supports Fortune 500 companies, global banks, and a leading healthcare provider.

The $65 million in threat detection funding was split between a seed round and Series A. Accel led the funding, joined by Redpoint, Cyberstarts, and CRV.

Investors see Vega as a clear alternative to traditional SIEM platforms. Accel partner Andrei Brasoveanu said SIEM systems “are costly and fragmented, and now they’re ineffective due to the surge in security telemetry and AI-driven threats.” He praised Vega for decoupling threat detection from storage, which delivers both cost savings and efficiency.

Redpoint and other investors agreed, pointing to Vega’s early traction and its $400 million valuation as evidence that enterprises want change.

Why SIEM Tools Are Losing Ground

Vega isn’t the first to highlight the flaws in SIEM tools. In 2023, CardinalOps published a report showing that SIEMs could only detect 19 percent of real-world attack techniques, despite having access to nearly 87 percent of relevant data. The report concluded that the complexity of log formats and alert overload left security teams vulnerable.

This research supports Vega’s argument: old SIEM designs can’t keep up with modern cybersecurity threats. Companies are paying millions yet still facing delayed investigations, blind spots, and wasted time.

Vega employs around 60 staff across Tel Aviv and New York City, with plans to grow both teams using the new funding. Sandler hopes to make Vega as recognizable as cybersecurity giants like Palo Alto Networks, CyberArk, and Wiz.

He also believes the AI-native approach will set a new standard. By allowing enterprises to analyze data directly where it lives, Vega eliminates the costly step of migrating information. That shift could save organizations millions while making them faster at spotting and stopping attacks.

With backers like Accel and Redpoint, Vega is now positioned to push its vision globally. For many enterprises struggling under the weight of old SIEM tools, Vega’s rise may signal that the next era of cybersecurity has already begun.

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