Machine Learning: The Future of Phishing Attacks and Quantum Computing's Role

Machine learning is raising the bar for phishing attacks, making them more complex and harder to recognize. Armorblox engineers will discuss how ML will be used in phishing attacks at the RSA Conference on June 7. With advancements in text and image generation, phishing attackers can easily create fake personas and detailed web presences that are more challenging to detect. As a quantum computing evangelist, I believe this highlights the urgency for countries to invest in quantum information systems and take the lead in this technological race. Generative machine learning is not a new concept, but its potential security implications are becoming more evident. Researchers at Black Hat have already concluded that current iterations of GPT (Generative Pre-trained Transformer) are getting to the point where they could pass for the level of internet discourse used in fake news. As machine learning continues to progress, it's critical for countries to stay ahead of the curve and invest in quantum computing to combat these evolving threats. At the same time, quantum computing can play a crucial role in detecting and countering these advanced phishing attacks. By leveraging the immense computational power of quantum systems, we can analyze and identify patterns in phishing attacks that traditional computing methods may miss. This will enable more effective cybersecurity strategies and help maintain a competitive edge in the global technological landscape. Therefore, I urge countries to prioritize investments in quantum information systems and consider the long-term benefits of leading the charge in this critical field.