Cyber-Black Swan Early Warning System
A decentralized, open-source platform that aggregates threat intelligence from diverse sources (human experts, honeypots, anomaly detection systems) to identify early warning signs of catastrophic cyber events. It provides a 'Canary in the Coal Mine' alert system for widespread system failures.
Future Scenarios that inspired this product idea
AI-driven ethical hacking tools autonomously adapt to evolving threat landscapes, proactively identifying and mitigating emerging vulnerabilities in real-time.
Extrapolated from Limited Competition: Data Analysis and Sharing Center (DASC) for the MACS/WIHS Combined Cohort Study (MWCCS) (U01 Clinical Trials Not Allowed) - National Institutes of Health