Data security threats from malicious insiders have already been recognised as a big problem for businesses – but an IBM Australia-built proof of concept could go a long way towards solving it with an artificial intelligence (AI) based solution that can spot disgruntled workers before they have acted. The tool grew out of an AI-themed internal hackathon run at IBM's Gold Coast-based Australian Security Development Lab, where developers are encouraged to come up with novel solutions. A team of IBM Security engineers realised that businesses are collecting masses of data about network performance and user behaviour, QRadar flows product owner Holly Wright told CSO Australia, and set about looking for ways this information could be meaningfully paired with other data and analysed to give greater insight about users' state of mind. "QRadar gives us deep visibility into the messages, views and emails going across the network," explained Wright, who shared details of the project with attendees at AISA's recent Australian Cyber Conference. "We decided to look at users from a risk perspective. We're essentially leveraging that information that's on the network, that nobody has really done anything with."