Is AI the key to unlocking victory when faced with stealthy threats from IoT devices within their own IT infrastructures?
In a research study, ‘Closing the IT Security Gap with Automation & AI in the Era of IoT’, HPE Aruba and the Ponemon Institute concludes that AI-based security automation tools are needed to halt advanced attacks that originate from IoT devices in the workplace.
Looking specifically at the data from the UK, the researchers found that 68 percent of those security and IT professionals asked thought cyber-security ‘gaps’ are being created through a lack of adequate controls over user and device activity connected to enterprise IT infrastructure. Just over half, 53 percent, also said that a lack of skilled security staff was the main enabler for these gaps appearing. More than three-quarters of respondents thought their own IoT devices were not secure, and 60 percent that the simplest of IoT devices pose a real threat.
Interestingly, in a sector not exactly under-populated by Artificial Intelligence hyperbole, three quarters (73 percent) of respondents really do think that AI-enabled technology holds the key to increasing the ability of security teams to be effective in detecting attacks.
I don’t see any winner here, both are a threat currently.
In what way do you think AI, in the form of machine learning, is a threat?