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Build the security layer
for the AI era.

Why it matters

Enterprises are betting on AI. Someone has to make it safe.

Every enterprise racing to put AI into production opens a new attack surface that traditional security was never built to defend. Klyvra closes that gap: we find the vulnerabilities before launch, guard the live request path, and gate what reaches production, all inside the customer's own infrastructure. It is a hard, fast-moving problem with real stakes, and we are a small team that ships.

How we work

Small team. High bar.

We keep the team small and the ownership large. The way we work is the reason people who care about this problem stay.

01 · OWNERSHIP
Own the whole thing.
Engineers take a problem from the threat model to the shipped defense. No hand-offs to a wall, no tickets that die in a backlog.
02 · DEPTH
Security seriousness.
We build for CISOs in regulated industries. That means honest scope, real threat coverage, and no overclaiming, in the product and in how we talk about it.
03 · SPEED
Ship as fast as threats evolve.
AI moves faster than anything security has faced. New attack classes become new suites and guardrails quickly, versioned so history stays reproducible.
04 · SOVEREIGN
Build for zero egress.
Everything runs inside the customer's cluster. Designing for on-prem, air-gap-friendly deployment is a constraint we treat as a feature, not a burden.
Open roles

No open roles right now.

We are not actively hiring at the moment. That changes fast. If securing AI for the enterprise is the problem you want to work on, introduce yourself and tell us what you would want to own, and we will keep you in mind when a role opens.