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Synchronizing AI, Cloud, and Cybersecurity Excellence

An increasingly complex world presents systemic challenges that AI can help solve.

Digital Trust Infrastructure is critical to our individual, community, national, and world security.

The Synthesis of Software-Hardware-Wetware will determine our civilization’s future.

POLYKEY

Decentralized Zero Trust for Secrets Management for Cyber-Physical Infrastructure

The Polykey platform helps individuals and organisations manage cybersecurity risks, by providing a platform for zero trust workflows. "SecretOps"

POLYKEY ENTERPRISE

Secrets Management for Cyberphysical Infrastructure

Polykey Enterprise builds on top of Polykey, an open-source decentralized secret sharing system.

MATRIX OS

Configuration Orchestration for Cloud, AI and IoT workloads

Matrix OS is an operating system designed for the next era of cloud and internet of things. Its primary objective is to orchestrate massive distributed infrastructure so that they become self-healing, self-organising, and self-adaptable.

LATEST ARTICLES

PRESENTATIONS

Jan 23, 2023

Our Cybersecurity and Digital Trust Community

Apart from our professional endeavours, we're also committed to building a friendly and inviting cybersecurity community here in the Sydney CBD region. We do regular meetups and talks, where we aim to:


Dec 5, 2019

Matrix AI Deep Learning Training Course Pilot with NetScout (NASDAQ: NTCT)

Over the last several weeks, Matrix AI has been training the senior and principal software engineers at NetScout (NASDAQ: NTCT) on machine learning with a focus on deep neural networks.


Apr 29, 2018

Polykey - Distributed Secret Sharing

The Matrix AI team has been developing Polykey, a distributed peer-to-peer secret sharing system. It is intended to


EVENTS

Jan 23, 2023

24:00
Our Cybersecurity and Digital Trust Community

Apart from our professional endeavours, we're also committed to building a friendly and inviting cybersecurity community here in the Sydney CBD region. We do regular meetups and talks, where we aim to: