Skip to content
About Vaultryx AI

Security for every layer of the modern stack.

Vaultryx AI is an AI-driven security platform built on a simple idea: infrastructure, code, and AI shouldn't be defended by disconnected tools.

Our mission

Make whole-stack security connected and provable.

Modern organizations run on infrastructure, ship software continuously, and increasingly deploy AI agents. Each layer has risk — and historically, each has its own tools that don’t talk to one another.

Vaultryx AI brings them together. SecureIPX maps infrastructure exposure and attack paths, SecureCodeX secures applications across the DevSecOps pipeline, and SecureAIX evaluates and governs AI agents and LLM applications — all sharing one model of your risk.

How we work

From blind spots to a defensible posture.

  1. 01 — Discover

    See everything you expose

    Infrastructure, code, and AI agents — including the assets and behaviors no one documented.

  2. 02 — Connect

    Into one model of risk

    Every finding lands in a shared graph, so a vulnerability, its asset, and its exploit path are one object.

  3. 03 — Prioritize

    By attack path, not severity

    AI ranks the few fixes that break the most paths, so effort removes the most real risk first.

  4. 04 — Prove

    Continuously, to your frameworks

    Audit-ready evidence mapped to ISO 27001, SOC 2, GDPR, NIS2, and DORA — kept current, not reconstructed before an audit.

Our approach

We don't sell another disconnected dashboard.

Most security stacks are a pile of tools that each see a fragment. Vaultryx AI is built the opposite way — one model of risk that connects infrastructure, code, and AI, so the work is prioritizing what actually matters, not reconciling three consoles.

One model of risk, not three separate consoles
Attack-path priority over raw severity
Security where work happens — scans, CI/CD, runtime
Evidence, mapped to the frameworks you answer to
What we believe

The principles behind the platform.

01

Attack-path thinking

We measure risk by what an adversary could actually chain together — not by the length of a findings list.

02

Security in the flow

Protection belongs where work happens: in scans, in the pipeline, and in production.

03

One model of risk

Infrastructure, application, and AI security should share a single, connected picture.

04

Evidence, not assertions

We map to the frameworks that matter and produce the evidence to prove it.

The connected-security thesis, applied to your stack.

See how one model of risk changes what your team fixes first. Book a working session.