In this interview, Team GENSHIELD-AI, third-prize winners of the COcyber AI Cybersecurity Deephack, share how they developed PhishNet — a multilingual phishing detection system. They discuss their dual-use design for civilian and defence applications, the importance of explainability in AI, and their plans to further develop GENSHIELD-AI for real-world deployment.

In this interview, Team MORPH, second-prize winners of the COcyber AI Cybersecurity Deephack, share how they developed a federated learning-based phishing detection system built for dual-use in civilian and defence contexts. They discuss their approach to privacy-preserving AI, adversarial robustness, and their plans to bring MORPH to market through investor engagement and strategic business training.

The COcyber AI Cybersecurity Deephack brought together students, professionals, and startup founders for a 48-hour challenge to design AI solutions against phishing threats. With dual-use applicability at its core, the event showcased innovative, ethical, and deployable tools bridging civilian and defence cybersecurity needs.