Three months isn’t long in most contexts, but it’s enough to know whether you’ve joined a company with real momentum. Vega is firmly in that category. Having seen hypergrowth done incredibly, done poorly, and everything in between during my career, the past three months since I joined Vega as the Chief Product Officer have made it clear why customers, employees, and investors are gravitating toward this company.
SAM Introduces a New SecOps Foundation #
The Security Analytics Mesh (SAM) is landing with a level of consistency I didn’t expect. CISOs respond to the architecture and what it unlocks. Analysts respond to the workflow. They immediately grasp why an AI-native SecOps model only works if the analytics layer itself is both federated and AI-native.
Most other solutions are just offering a conversational interface on top of yesterday’s constraints.
This is exactly where the industry split has become clear. While some vendors are packaging summarization and alert analysis as revolution, SAM changes the substrate. There’s a real difference between generating text about alerts and reshaping assessment, detection, investigation, and triage around a mesh-native analytics layer.
Customer reactions follow the same arc: curiosity at the concept, a visible shift when the deployment models click, and full strategic recalibration when they realize they can unify SecOps and Security Analytics without ingestion, migration, parsing, normalization, or maintenance.
Once you see it, it’s hard to unsee.
AI-Native SecOps Requires Rethinking Every Layer #
A good example this quarter came from a very large financial institution. They’d been casually exploring the idea of AI in the SOC, but Splunk’s escalating costs and complexities had them locked into short-term thinking and to a certain extent, deadlock.
Once they saw Vega, the calculus changed. The overwhelming logistical and analytical upside made the leap obvious. Critical visibility gaps immediately closed in a cost viable way, coupled with AI-powered normalization, posture assessment and detection engineering across their entire estate and a clear line-of-sight to 100% Analytics independence. For the first time, the path actually made sense.
No heavy restructuring, no forced migration, no multi-quarter detour. And critically, no reliance on existing platforms.
This pattern shows up everywhere. When the analytics layer is able to actually see the whole environment and is unified with detection and triage, the operating model becomes obvious, as does the potential of AI - with the barriers that once shaped every decision no longer dictating the future.
Vega is Built to Scale #
What stands out inside Vega is the strength of the people shaping it. Engineering is stacked with talent, GTM is (especially for a company at this stage) full of operators who know what real scale requires, and the company is crystallizing around them. Processes and priorities are aligning into something that feels less like a collection of teams and more like the early formation of a machine built to scale.
Eli Rozen and Shay Sandler set that trajectory as Vega’s founders. They’re building with a long horizon, creating the conditions for durable scale rather than chasing urgency. Our board amplifies that posture, bringing clarity without pushing for short-term optics. The result is an environment where people can execute at speed, supported by structure rather than fighting against it.
What Comes Next for Vega #
The past three months were about validation. The next three are about growth. More customers, more partners and an-ever evolving SAM.
The thesis that brought me to Vega is sharper now than when I joined: security teams do not want another add-on. They want a technology-driven paradigm shift that enhances every aspect of how they’re measured and becomes their new way to operate.
Vega is earning the right to be that OS. Come join us. We’re hiring.
Ready to be part of the future of security operations? Explore careers at Vega or request a demo to see the platform in action.