From the prospect of drying up the beer supply in Japan, to crippling prestige car production in the UK, and wreaking havoc with millions of customer records in Australia: the increased scale and sophistication of cyber-attacks around the world puts a new focus on mobile threat detection and device security.

In the realm of mobile data security in our AI-enabled world, it’s critical to keep up to date with best practices for securing data in AI systems. It should come as no surprise to learn that this encompasses all the usual suspects, from data encryption to digital signatures, data provenance tracking, secure storage, and trusted infrastructure.

The promise of BYOD lies in its flexibility and potential for cost savings, yet this inherent flexibility ushers in a number of risks and issues, with the potential for data breaches and cybersecurity risk presenting a significant concern.

While it doesn’t have quite the same ring as location, location, and location, when it comes to the top three challenges facing CIOs in 2025, you won’t be surprised to find they are AI, AI, and AI! 

But these challenges are also opportunities. Because AI permeates all aspects of the enterprise, CIOs can face up to the challenges of AI-driven cyberattacks by adopting AI in cybersecurity.

Cybersecurity breaches continue to be the stuff of nightmares for Australian CIOs. Last year, the country lay siege to a surge in cyberattacks and escalating data breaches. According to the government @cyber.gov.au, mobile malware detections spiked at almost three times the rate of the previous year.