ARGUS Sentinel began as a university innovation and evolved into a broader vision for transparent, adaptive endpoint protection.
Information
Design
Data & AI
Information Systems
Network
Software
We build with clarity and explainability at every layer.
Our platform learns, adjusts and evolves with threats.
Actionable insights and automated response that teams can trust.
Modern malware changes quickly, behaves unpredictably and often bypasses signature only controls.
We believe better protection requires multiple forms of intelligence, and every decision should be explainable to the people relying on it.
Our team combines Android engineering, machine learning, cloud deployment and cybersecurity design to build a platform that can detect, explain and respond in one connected workflow.
Disparate alerts.
Unclear context.
Too much noise.
Human readable explanations.
Actionable next steps.
Trusted outcomes.
| App | Verdict | Confidence | Action taken |
|---|---|---|---|
| Unknown Installer | Malware | 76.42% | Quarantined |
| Argus Sentinel | Safe | 6.13% | none |
| Field Service | Safe | 2.87% | none |
| Doc Reader | Safe | 0.94% | none |
ARGUS Sentinel was recognised as a winner at the 2026 WA INCITE Awards, celebrating the team's technical development, collaboration and commitment to practical cybersecurity innovation.
Cybersecurity, design, product, software, networks and AI working as one connected team.
Responsible for cybersecurity strategy, malware research, security architecture, threat analysis, and secure software development practices.
Responsible for UI/UX design, branding, product design, and delivering an intuitive user experience.
Responsible for product management, Agile methodologies, sprint planning, project coordination, Trello/Jira management, and business operations.
Responsible for software architecture, application development, code quality, system integration, and code reviews.
Responsible for backend infrastructure, cloud services, API, networking, DevOps, deployments, and system reliability.
Responsible for machine learning models, malware detection algorithms, data engineering, model training, evaluation, and AI research.
Our team combines Android engineering, machine learning, cloud deployment and cybersecurity design to build one connected workflow.
Understand threats and user needs
Create with clarity and purpose
Build secure scalable solutions
Test, refine and verify at every layer
Deliver insight and automated action