MACHINE LEARNING
“The exponential growth in the technology landscape and the advancement in capabilities of cybercriminals means humans can ’ t operate on the scale at which they need to on their own ”
BRUCE MAZZA SENIOR VICE PRESIDENT OF TECHNOLOGY ALLIANCES AT BLUE PRISM
“ In the same way , enterprises that aren ’ t investing in AI-enhanced solutions can help tackle the growing threat of cybersecurity will undoubtedly open themselves up to an increasing amount of risk as cybercriminals ’ capabilities continue to progress ,” he continued .
Key considerations with AI among information security professionals When utilised for cyber security purposes , AI can be used to sift through large amounts of data to identify suspicious irregularities across systems and user activity .
“ With Machine Learning ( ML ) specifically , security teams are able to search across disparate data sources and correlate numerous data points so that anomalies can be identified . Just one of these anomalies could be a threat actor infiltrating a cloud network or another part of the IT system ,” says Tyley .
Outlining the incredible capabilities of AI within the cyber security environment ,
Mazza said “ Digital robots equipped with the latest AI capabilities are able to analyse phishing emails up to 80 % faster , analyse malicious URLs up to 96 % faster and analyse intrusion events up to 80 % faster .”
Although the benefits of this technology are undeniable , particularly as AI can protect organisations from the snowballing scale of sophisticated cyber crime , Tyley did stress the importance of data models and the understanding of the cyber environment : “ There is a risk that otherwise innocent activities are wrongly interpreted and instead of preventing attacks , innocent business processes are halted . Extrapolate that out to critical business systems and in some industries , the consequences could be severe .”
“ As we ’ ve seen with data science and other fields , this approach also requires a new skill-set and way of working that can ’ t
80 February 2022