AI-driven technology is a powerful tool to address new cyber threats and risks by protecting end points, detecting hidden threats and anomalies, blocking attacks before they can spread widely, and accelerating efficient response speeds to cyber incidents.
AI and Machine Learning create additional risk however, with cybercriminals taking advantage of AI systems to analyse networks, find vulnerabilities, compromise the data used to train the AI, potentially leading to disastrous consequences.
When considering the interplay between artificial intelligence and security, it is therefore essential to take all potential effects in any regulatory, technical, commercial or operational decision-making process, into account. This session will explore how stakeholders can work together to develop specific measures and processes ensuring that AI systems are, and remain, secure and trustworthy.
How is AI changing cybersecurity developments? Are the provisions in the European Data Strategy and the White Paper on Artificial Intelligence released by the European Commission earlier this year appropriate in order to allow access to the right datasets for risk and threat evaluation? How can AI and machine learning be used to stay ahead of security threats, and what solutions are available to mitigate the possible security risks of using AI systems?