Rolling out AI? 5 security tactics your business can't get wrong - and why

"The same capabilities that make AI useful also make it exploitable. In fact, the rate at which emerging technologies are advancing intensifies that uncomfortable reality by the minute. While professionals might not want to expose their organizations to new threats, they also recognize the risk of falling behind as other businesses seek to gain a competitive edge by implementing AI."

"Because we provide cyber insurance as a business, we have people who understand this area. So, therefore, it's not just a tech person who understands security, and it's not just a data or an AI specialist. I think people have to know more about security in their roles. The multifaceted nature of AI cybersecurity means professionals should expect new roles and responsibilities to emerge, with people sharing knowledge and swapping between teams to create a more powerful approach."

"I know the best security specialists are the ones talking to my AI teams and asking them, 'How would this work, and how would that work?' The multifaceted nature of AI cybersecurity requires collaboration between security specialists and AI teams to identify vulnerabilities and strengthen implementation strategies."

The advancement of AI technology creates a dual challenge: its beneficial capabilities simultaneously increase security vulnerabilities. Organizations face pressure to adopt AI for competitive advantage while managing heightened cyber threats. Business leaders recommend five strategies to address this tension. Knowledge sharing across departments proves essential, with security expertise integrated throughout organizations rather than isolated in IT teams. Professionals must develop cross-functional understanding of AI cybersecurity risks. Collaboration between security specialists and AI teams strengthens implementation. Emerging roles will require people to move between teams and share expertise. Organizations should leverage automation and partner with external resources to manage risks effectively while pursuing AI adoption.

Read at ZDNET