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.

We’re sure you rolled your eyes and shook your head in disbelief when news broke about Donald Trump’s national security team accidentally sharing classified national security information with a journalist on messaging app Signal.

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.

In today’s digital landscape, secure mobile data collaboration is crucial for protecting sensitive information and ensuring compliance. As remote work and mobile device usage become more prevalent, implementing robust security measures is essential to prevent data breaches and safeguard corporate data.