Across application security, cloud infrastructure, and the platforms enterprises run on, we kept seeing the same pattern. The tools could find the facts. Teams were still left to work out what mattered, who owned it, and whether anything actually changed.
Four questions sit between a finding and a reduced risk. Every one of them is left to the team. That gap is the company.
Before Unizo, our co-founder spent five years building one of the industry's most complete application security platforms, spanning SAST, DAST, SCA, IaC, and ASPM, securing software for hundreds of the world's largest engineering organizations.
At that scale, one thing kept surfacing. The platform was very good at its job. It found more than any team could act on.
Every tool produced legitimate evidence, and every tool produced it alone. Ownership degraded at each handoff. Teams measured tickets closed rather than exposure removed. The one question that mattered, whether the environment was harder to attack than last quarter, had no owner and no answer.
The problem was never that security teams could not find enough. It was that the system around those findings was never designed to finish the work.
It started with one question that platform could not answer: this defect exists in a repository, but is the code deployed, reachable, and connected to anything that matters? Following it from code into runtime is what became Live Security Context. Everything else grew from there.
Finishing that work takes two competencies that rarely sit together: understanding security findings at enterprise scale, and connecting systems that were never designed to talk to each other. We spent a decade building both.
Application security platforms that unify scanning, posture, and remediation for large engineering organizations.
Systems where identity, access, topology, and operational state interact continuously and change constantly.
API platforms operating at hyperscale, connecting tools and data securely across organizational boundaries.
Ran R&D for SaaS at Synopsys, where he built Polaris from vision to scale: the strategy, the architecture, the engineering organization, and the enterprise deployments that followed.
Before that, head of API platform engineering at Google Cloud, running a platform handling hundreds of billions of transactions a day. Earlier, Director of Software Engineering for Interconnection at Equinix and a founding member of Equinix Fabric, Network Edge, and Cloud Router.
"The finding side of security is solved. Everything after it is not."
Eight years at Equinix building interconnection at the platform layer, ending as Director of Software Engineering. Built Equinix Cloud Exchange Fabric and the adapter framework beneath it, connecting enterprises to every major cloud on demand.
Earlier, payment gateway integrations at Apple and trading platforms in fintech.
"Everywhere I worked, the systems existed and the data existed. Connecting them in a way that scaled was always the unsolved part. Security needs that more urgently than anyone."
We first worked together at Equinix, on the same engineering organization, building systems that connected what was never designed to connect. That was a decade before Unizo existed.
What we refuse to accept
A finding tells you something exists. Meaning comes from the relationships around it: assets, identities, access, code, ownership, change.
Reordering a queue changes nothing in the environment. The work has to reach the owner who can alter the condition that makes the exposure viable.
It should reason from current evidence, show the basis for its conclusions, and stay inside the controls the customer sets. Autonomy without bounds is not a feature.
A completed workflow is a claim. Proof is re-checking the environment and confirming the path is gone.
Security context now spans cloud, identity, code, infrastructure, and workflow systems, and those environments change continuously. AI can help teams reason and act across that complexity, but only when it is grounded in maintained context, kept under enterprise control, and checked against reality.
Evidence and reasoning stay inspectable. Every conclusion traces back to the environment it came from.
Customers decide where AI assists, where it recommends, and where it acts.
Ownership, decisions, and verification remain traceable after the work is done.
We build alongside security practitioners and validate against real operating conditions, because a system that claims to reduce risk has to be answerable to the environment it runs in. How we handle your data
Bring an exposure path from your environment and we will show you how Unizo connects the evidence, drives the fix to the owner, and verifies whether the path changed.
We are hiring engineers who want to work on the part of security that never got finished.