AI can boost security but leave door open to cyber attacks
Written By
Artificial intelligence has provided new technologies that have proven beneficial across various industries but at the same time it has also opened the door for the occurrence of cyber-attacks. The integration of machine learning introduces both vulnerabilities and advancements in cyberattacks. Areas of concern encompass data poisoning, ransomware, phishing, zero-day attacks, and model stealing.
AI and machine learning will help to advance cybersecurity and aid cyber teams in analysing vast datasets, detecting threat patterns and anomalies, and accelerating the learning process through feedback mechanisms. It is important for businesses to protect themselves against any cyberattacks and comply with the latest regulations.
The AI Act aims to ensure a level of cybersecurity appropriate to the risks. Suitable measures, such as security controls, should therefore be taken by providers of high-risk AI systems and underlying ICT infrastructure. Determining whether an AI-system can be classified as a high-risk system needs careful consideration.
Cybersecurity by design
As a matter of principle, the AI Act stipulates that for high-risk AI systems need to be designed and developed in such a way that they achieve an appropriate level of accuracy, robustness and cybersecurity, and that they perform consistently in those respects throughout their lifecycle. For this purpose, the European Commission is encouraging the development of benchmarks and measurement methodologies together with stakeholders. This task may be assigned to the Commission’s AI Office which was launched on 16 June 2024.
AI models, systems and cyber resilience
High-risk AI systems and general-purpose AI models presenting systemic risks need to be resilient against attempts by unauthorised third parties to…
