As artificial intelligence becomes indispensable to the construction industry, fast and reliable mobile networks become more important than ever. Whether it’s using artificial intelligence to simplify contract management, automate reporting, or predict risks, these mission critical applications rely on fast 5G connectivity. Likewise, when using AI to improve safety and reduce waste, for real-time tracking of people and equipment across multiple construction sites, business connectivity is everything.

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.