The Cybersecurity in the Digital Age - Opportunities and Risks roundtable, hosted by Palsit as part of Infosek Networking, provided answers to key questions about the ongoing digital transformation driven by new forces such as cybersecurity and resilience, and artificial intelligence.
"The safe adoption of AI in business requires the collaboration of business process owners, key users and those AI experts who manage the business risks and security challenges of AI solutions," said Klemen Rizman, Head of AI Solutions Development at CREAPLUS, at the panel discussion.
As Klemen Rizman further explained, the use of AI creates several groups of risks. The first group are risks related to the security and privacy of sensitive user data. These risks need to be integrated by organisations into their business risk management and corporate policy on the protection of sensitive data. In addition, they need to establish rules for the use of public generative AI services and build their own or rent private models as a service that can be used to optimise and manage internal information and processes.
The second set of risks comes from the use of artificial intelligence in cybersecurity, both on the attacker and the defender side. Criminal organisations are investing heavily in the development of malicious AI tools that enable them to launch a diverse, increasingly sophisticated and frequent range of attacks. On the defensive side, AI is mainly used to automate event monitoring, detect threats by correlating data from different security controls, and automate response. It is AI that is now enabling defence organisations to keep pace with growing threats in the face of chronically understaffed organisations.
