AI and quantum computing are revolutionizing cybersecurity by enhancing threat detection, encryption, and data protection. AI-powered systems analyze vast datasets in real time, identifying anomalies and predicting cyber threats before they occur, while automation accelerates incident response. Quantum computing strengthens encryption through Quantum Key Distribution (QKD) and post-quantum cryptography (PQC), ensuring secure communications against future quantum attacks. Additionally, Quantum Machine Learning (QML) enhances cybersecurity by rapidly processing large datasets. However, these advancements pose challenges, including AI-driven cyber threats, quantum risks to current encryption methods, high implementation costs, and the need for skilled professionals. The future of cybersecurity lies in integrating AI-driven defense mechanisms with quantum-resistant encryption to mitigate emerging threats.

QAI have the potential to revolutionize cybersecurity by enhancing threat detection, improving encryption, and countering sophisticated cyberattacks.

Dear Shahnawaz Mohammed,

I have been conducting research in this area for years. Among other things, the following conclusions have emerged from my research:

Artificial intelligence and quantum computing are technologies that have great potential to improve cyber security. Their ability to automatically detect threats, create unbreakable ciphers and analyse huge data sets at unprecedented speed opens up new possibilities in the fight against cybercrime. As these technologies continue to evolve, their role in protecting our data and systems can be expected to grow, providing us with greater security in the digital age. AI is playing an increasingly important role in cyber security, acting as an automated sentinel that constantly monitors and analyses vast amounts of data to identify any abnormal behaviour that may indicate a cyber attack. Thanks to advanced algorithms, AI is able to detect threats quickly and effectively, responding to them in real time, minimising potential damage. What's more, machine learning models, an integral part of AI, have the ability to predict cyber threats before they happen, allowing systems to proactively strengthen resilience and prevent attacks. Quantum computing, in turn, is bringing about a revolution in data encryption. Quantum key distribution (QKD) is an innovative technique that uses the principles of quantum physics to create virtually unbreakable ciphers, securing communication channels against potential attacks. In addition, quantum computers, thanks to their immense computing power, can be used to accelerate complex operations such as the analysis of large data sets, significantly strengthening security systems, making them more effective and resilient to attacks. The combination of artificial intelligence and quantum computing opens up new possibilities in cyber security. For example, Quantum Machine Learning (QML), which is machine learning assisted by quantum computers, makes it possible to process and analyse huge amounts of data at speeds unattainable by classical computers. This, in turn, allows for even faster and more accurate threat detection, as well as the creation of more advanced predictive models that can predict attacks with greater precision. In summary, artificial intelligence and quantum computing are technologies that have great potential to improve cyber security. Their ability to automatically detect threats, create unbreakable ciphers and analyse huge data sets at unprecedented speed opens up new possibilities in the fight against cybercrime. As these technologies continue to evolve, their role in protecting our data and systems can be expected to grow, providing us with greater security in the digital age.

I conduct research in the problems of analysing cybercrime attacks carried out using ransomware viruses and in improving cyber security systems. The conclusions of my research are included in the following articles:

Development of malware ransomware as a new dimension of cybercrime taking control of IT enterprise and banking systems

Chapter Development of malware ransomware as a new dimension of cybe...

Determinants of the development of cyber-attacks on IT systems of companies and individual clients in financial institutions

Chapter Determinants of the development of cyber-attacks on IT syste...

Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data

Article Cybersecurity of Business Intelligence Analytics Based on th...

Thank you very much,

Best regards,

I would like to invite you to scientific cooperation,

Dariusz Prokopowicz