Fadhil Raditya@rad1zly

HumanPatch is an interactive cybersecurity learning platform designed to bridge the gap between knowing cybersecurity advice and applying it in everyday digital situations. Through realistic, fictional simulations, users can practice recognizing threats, evaluating suspicious interactions, making safer decisions, and responding to digital incidents before real harm occurs. The platform offers four tailored digital worlds: Student, Merchant, Worker, and Parent. Each profile reflects different digital responsibilities and risks while sharing ten core cybersecurity learning domains, including password security, phishing, safe browsing, social privacy, digital payments, scam psychology, and incident recovery. Users create a fictional persona, explore simulated messages, browsers, phones, and settings, and respond to events that may influence subsequent scenarios. Each decision leads to visible consequences, personalized behavioral feedback, and practical guidance on reporting incidents, securing accounts, and recovering from exposure. By combining contextual learning, interactive decision-making, and guided recovery, HumanPatch aims to transform cybersecurity awareness into practical skills and safer online behavior for people across different backgrounds and levels of digital experience.

Cyberflation.ID is a near-real-time early warning and cyber risk intelligence platform designed to measure, monitor, and forecast cyber risk inflation in Indonesia. Cyber risk inflation describes the increasing operational, recovery, compliance, and reputational costs caused by the accumulation of cyber incidents, exploited vulnerabilities, exposed digital infrastructure, data breaches, phishing, ransomware, and other emerging threats. The platform aggregates multiple public and OSINT data sources, including CISA Known Exploited Vulnerabilities, exposed services identified through Shodan, cyber incident records, online gambling injection indicators, and cybersecurity news feeds. These signals are normalized and processed into a unified Cyber Inflation Index with sector-level risk breakdowns and forecasting capabilities. Through its AI Analyst, users can understand the factors driving cyber risk, identify priority sectors and exposed assets, and receive actionable mitigation recommendations. Cyberflation.ID helps governments, CSIRTs, businesses, and cybersecurity communities move from reactive incident response toward earlier, data-driven, and more cost-efficient cyber risk intervention.

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.