Artificial Intelligence and Cybersecurity

The conversation around AI in the workplace often generates fear. In fact, 65% of IT workers cite the rise of generative AI as a direct threat to their job security.

Five ways generative AI can help with the cybersecurity skills shortage — from lowering the bar to entry to improving collaboration.

Versa Network’s AI director Sridhar Iyer gives us a deep insight into the benefits of AI to cybersecurity and the skills required to take full advantage.

Generative AI can enhance digital security, but it can’t — and shouldn’t — replace humans that are essential to fight malicious hackers.

By shifting responsibilities to autonomous self-learning processes, valuable cybersecurity professionals will be able to focus their unique skillsets on higher-order planning and strategy.

There is no argument artificial intelligence will have an impact on the cybersecurity skills gap. The question is how.

In this respect, AI enables us to do more in less time; an enormous benefit to cybersecurity teams struggling with talent shortages.

Defensive AI emerged as a critical AI use, with 58% of respondents to a survey saying their organization is investing in AI to stop AI-based attacks.

It’s inevitable that AI systems will be tasked with more and more cybersecurity responsibilities. It is time to start thinking about how the roles of human CISOs and AI will evolve.

As companies battle a growing array of external and internal threats, artificial intelligence (AI), machine learning (ML), and automation are playing increasingly large roles in plugging that workforce gap.

One school of thought says AI is the panacea for cybersecurity – and in particular the skills shortage – but this simply isn't the case.