Vega, a security analytics startup founded in 2024, has raised $65 million across its Seed and Series A rounds, propelling the company to a valuation of around $400 million. With offices in Tel Aviv and New York, Vega is stepping out of stealth to reveal its AI-native Security Analytics Mesh (SAM), a model designed to give SecOps teams instant access to every dataset without the storage and ingestion trade-offs of legacy SIEMs.

Founded by Shay Sandler (CEO) and Eli Rozen (CTO), Vega has already secured backing from some of the most respected names in venture capital, including Accel, Redpoint, Cyberstarts, and CRV. The support from these investors signals deep conviction in Vega’s strategy: a SIEM-less model powered by its proprietary Lyra AI engine.

Breaking free from SIEM economics

Traditional SIEM platforms require organizations to centralize logs, pay high ingestion fees, and accept trade-offs in data visibility. Vega flips this model by enabling analytics directly on distributed data sources, whether they sit in cloud storage, data lakes, or existing SIEMs and XDRs. By doing so, it promises faster detection, vendor-agnostic flexibility, and reduced costs. For enterprises managing petabytes of log data, this model offers a transformative alternative to the status quo.

The Vega platform introduces a unified query language, prebuilt MITRE ATT&CK-mapped detections, and AI-assisted investigations. These capabilities combine to reduce alert fatigue, close coverage gaps, and accelerate response times. What stands out is that Vega doesn’t just provide more dashboards - it provides measurable business outcomes.

And that’s where a critical founder insight emerges: the fastest way to turn early adopters into long-term customers is to design your product so its success can be proven in numbers that matter to the business. Vega’s team knew that metrics like “users onboarded” or “queries run” wouldn’t be enough to convince CISOs. Instead, they engineered pilots to demonstrate quantifiable improvements: lower alert noise by measurable percentages, reduced mean time to response (MTTR), increased MITRE coverage, and clear savings on log ingestion costs. This approach highlights an ultra-valuable lesson for founders - if you want enterprises to move from pilot to full rollout, your first wins must translate into boardroom metrics. Embedding that thinking into the DNA of your product from day one dramatically shortens the sales cycle and raises investor confidence.

Why Vega’s timing is right

The security operations market is under immense strain. Teams are overburdened by fragmented tooling, alert fatigue, and spiraling data costs. Vega enters this environment with a solution that doesn’t force a rip-and-replace, but instead layers intelligence on top of existing infrastructure. That subtle but important distinction reduces adoption friction while delivering immediate ROI.

Enterprises piloting Vega report faster investigations and better coverage without the overhead of migrating terabytes of data. For CISOs, it means they can improve detection posture today, rather than waiting months for a costly SIEM expansion project to complete.

Backing from top-tier investors

The company’s ability to raise $65 million so early in its lifecycle underscores both the strength of its product vision and the credibility of its founding team. Investors like Accel, Redpoint, Cyberstarts, and CRV have a strong track record of backing category-defining infrastructure companies, and their support gives Vega both capital and strategic depth. With this funding, Vega plans to scale engineering, expand its detection library, and accelerate go-to-market motion across the U.S. and global enterprises.

For investors, Vega’s thesis is attractive: a platform that reduces operational costs while improving security outcomes, led by a team that has built security products at scale before. For founders watching from the outside, it’s a reminder that solving pain points that directly affect budgets - storage costs, staffing efficiency, risk metrics - gives a startup a compelling narrative in both customer and investor conversations.

Looking ahead

With the new funding, Vega is focused on scaling adoption of its Security Analytics Mesh, refining its Lyra AI engine, and building a larger library of detection and investigation playbooks. The company is also prioritizing compliance and trust signals, ensuring the platform meets SOC2, ISO, and HIPAA standards to accelerate enterprise adoption.

Vega’s story demonstrates the power of tackling structural inefficiencies in mature markets. By addressing the painful trade-offs of traditional SIEMs, it has carved out a differentiated position in an increasingly crowded space. More importantly, it shows how embedding ROI-driven metrics into early product design can create a powerful sales advantage. For founders across industries, this lesson is as valuable as the technology itself.