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Team Name:

Four Musketeers


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Evidence of Work

CheckMate: Protecting Moves, Connecting Communities

Project Info

Four Musketeers thumbnail

Team Name


Four Musketeers


Team Members


Gregory , Khoa , Benny Tantowi , Hazel

Project Description


In today’s digital age, staying connected online has become essential for work, study, and social interaction. However, this reliance on technology comes with significant risks, including scams, phishing attacks, identity theft, and misinformation. These threats not only cause financial and emotional harm but also contribute to declining trust in online spaces. With this problem at hand, we the Four Musketeers are diving deep into comprehensive datasets to uncover the truth. Every scam, every piece of misinformation, chips away at something far more valuable than money it breaks trust. And when trust erodes, communities start to fall apart.That’s why our mission is clear: to unite communities against scammers through an innovative solution “CheckMate: Protecting Moves, Connecting Communities”. By shining a light on these hidden threats, we’re not just protecting people’s wallets, we’re protecting the very bonds that hold society together.

Cybercrime and online scams are escalating at an alarming rate, with individuals increasingly exposed to fraudulent calls, phishing emails, and malicious websites. Traditional security measures, such as spam filters and ad blockers, only offer partial protection and do little to educate users on recognizing threats. This lack of awareness leaves people vulnerable and hesitant to fully engage in digital spaces, eroding trust within online communities. There is an urgent need for a proactive solution that not only blocks threats but also empowers users with the knowledge to navigate the internet safely.

CheckMate is a multi-layered digital threat mitigation platform engineered to protect users from phishing, social engineering, malware, ransomware, and other forms of digital fraud. Operating across web, mobile, and messaging channels, it combines real-time threat intelligence, anomaly detection, and automated remediation to prevent exposure before attacks can occur. At its core, CheckMate Intelligence (CMI) utilizes machine learning algorithms, natural language processing (NLP), and behavioral analytics to evaluate the legitimacy of emails, phone numbers, URLs, and digital content. CMI continuously cross-references government databases, Scamwatch feeds, and global cybersecurity intelligence platforms to deliver high-confidence threat assessments. Users can interact with CMI via a conversational AI interface, verifying contacts, websites, and messages while receiving step-by-step mitigation guidance.

CheckMate integrates seamlessly as a native app, browser extension, and SMS filter, employing real-time alerting, adaptive risk scoring, URL reputation analysis, and automatic sandboxing for suspicious content. The Fact Checker module performs deepfake detection, AI-generated media analysis, and misinformation validation using computer vision and NLP verification pipelines to protect users from sophisticated content manipulation. The Community Forum leverages CM Verify, a secure identity verification framework based on government-issued IDs and cryptographically secured profiles, ensuring that shared solutions and answers are authentic. Misleading or malicious content can be flagged, reported, or automatically deprioritized using crowdsourced intelligence combined with AI moderation.

Designed for accessibility and resilience, CheckMate features multi-language support, adaptive UX, interactive threat dashboards, and proactive cyber hygiene recommendations. Users receive push notifications, real-time IOC (Indicators of Compromise) alerts, automated blocking of high-risk vectors, and predictive threat warnings. CheckMate empowers users with full-spectrum digital situational awareness, combining AI-driven threat detection, community intelligence, and proactive education. It creates a trusted neutral environment where users can interact, collaborate, and share safely—even amidst opposing views.


#cybersecurity #it #community #securetogether #trust #dataprotection #social

Data Story


CheckMate is a powerful new app designed to protect people from scams and cyberthreats while fostering a sense of unity within communities. By combining advanced threat detection with real-time scam alerts, CheckMate helps users stay one step ahead of cybercriminals. The app not only safeguards personal information but also empowers individuals to report suspicious activities, creating a shared defense network where communities can look out for one another. Supported by the Australian Government trust, CheckMate strengthens its credibility and ensures that its security measures align with national standards and protections. Through collaboration, awareness, and government-backed reliability, CheckMate builds trust and resilience, uniting people in the fight against digital threats and ensuring that online spaces remain safe and secure for everyone.

Supported application for all ages
Recent data from the Australian Bureau of Statistics highlights (3.8% for persons aged 45 to 64 years) that individuals aged 45–64 are increasingly targeted by scams compared to younger generations. This age group is often more vulnerable due to their financial stability, accumulated savings, and frequent engagement with online services, making them a prime target for cybercriminals. To address this growing concern, the CheckMate app is designed to provide tailored support, resources, and real-time protection against scams and cyber threats.
By focusing on prevention, education, and community engagement, CheckMate empowers older Australians to recognise suspicious activities, report potential scams, and stay connected to trusted government support channels. The app serves as a safety net, offering guidance and alerts that help reduce risks while promoting confidence in the digital world. In doing so, CheckMate not only strengthens cyber resilience for the elderly but also builds greater trust between communities and the Australian Government, uniting efforts to combat online threats together.

https://www.abs.gov.au/statistics/people/education/education-and-work-australia/may-2024

https://www.abs.gov.au/statistics/people/crime-and-justice/personal-fraud/latest-release

https://www.cyber.gov.au/about-us/view-all-content/reports-and-statistics/annual-cyber-threat-report-2023-2024

https://reports.weforum.org/docs/WEF_Global_Cybersecurity_Outlook_2025.pdf

https://www.cyber.gov.au/about-us/view-all-content/reports-and-statistics/commonwealth-cyber-security-posture-2024

https://www.abs.gov.au/statistics/measuring-what-matters/measuring-what-matters-themes-and-indicators/cohesive/trust-others

https://sobiad.org/eJOURNALS/journal_IJSS/arhieves/2010_2/09melike_erdogan.pdf

https://www.abs.gov.au/statistics/people/crime-and-justice/personal-fraud/latest-release#victimisation-summary


Evidence of Work

Video

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Team DataSets

ACSC – Commonwealth Cyber Security Posture 2024

Description of Use Informs research on government cyber readiness to guide project recommendations and context.

Data Set

WEF – Global Cybersecurity Outlook 2025

Description of Use Provides insights into AI-driven threats and deepfake growth to support project discussion on emerging cyber risks and strengthen project presentation

Data Set

Erdogan, M. (2010) – Social Capital and Civic Participation

Description of Use Informs analysis of victimisation rates and supports project graphs linking trust frameworks with digital trust issues.

Data Set

ABS – Personal Fraud Summary

Description of Use Supports cross-checking of fraud victimisation totals to validate project data and graphs.

Data Set

ABS – Trust in Others (Measuring What Matters)

Description of Use Reveals trends in social trust and community engagement to support project graphs and analysis of societal factors.

Data Set

ACSC – Annual Cyber Threat Report 2023–24

Description of Use Illustrates incident volumes and financial loss statistics for insights.

Data Set

ABS – Personal Fraud, 2023–24 Financial Year

Description of Use Highlights victimisation rates across card fraud, identity theft, and impersonation to support project analysis and visualisations.

Data Set

ABS – Education and Work, Australia (May 2024)

Description of Use Provides research and insights to understand workforce digital literacy and inform project context.

Data Set

Challenge Entries

Digital Confidence: Tools for Safe Online Participation

How can communities, governments and organisations enhance digital safety and trust to protect vulnerable populations and enable secure, meaningful engagement with digital platforms and data?

#Navigating-the-digital-seas

Eligibility: Open to all. Your solution will be measured against its relevance to the theme, practicality and scalability, whether it follows ethical and inclusive design, and its innovation. You must use at least one Government dataset.

Go to Challenge | 24 teams have entered this challenge.

Bridging Social Divides: Bringing People Together to Strengthen Social Connections

How can we bring people together from diverse backgrounds to communicate respectfully, even when they hold opposing views?

#Strengthening-social-connections-for-community

Eligibility: Open to all. At least one government dataset must be used.

Go to Challenge | 20 teams have entered this challenge.