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 modern business environments, from corporate offices to healthcare settings, manufacturing plants, retail stores, mines, and construction sites, mobile devices are the workplace tool of choice. In tandem, a surge in cyber threats, including ransomware, phishing, and malware, are always at the ready to exploit device vulnerabilities, making mobile device security best practices more important than ever.

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.

IoT proliferation is huge, though the actual number varies considerably depending on who you believe. Back in 2021, IDC estimated there would be 55.7 billion connected IoT devices by 2025. More recently, TechJury & IHS Markit predicted up to 75 billion, while IoT Analytics provided a more conservative estimate of 27.1 billion connected IoT devices this year.

Artificial Intelligence (AI) and wearable devices are playing an ever-larger and more vital role in the future of healthcare. With Australia’s ageing population, rising incidence of chronic illnesses, and increasing healthcare expenditure, AI’s capacity to improve diagnostic accuracy, personalise treatment plans, and streamline care delivery is proving essential. Meanwhile, wearables are transforming how we capture real‐time data on patients, detect early warning signs, and encourage healthier behaviours.