Intelligent CISO Issue 49 - Page 38

These algorithms can spot anomalies in datasets that neither a human brain would be able to detect , nor a traditional firewall be able to prevent . as the text gets smaller . Then imagine having to read the smallest line , with a new line appearing every second , and then spot patterns . This is similar to the cybersecurity landscape .
FEATURE
Cybersecurity – Time for a machine assist
Innovations in AI and ML have come a long way . The period when businesses had to develop their own automated innovations to take advantage of these tools has passed . AI and ML , especially when it comes to cybersecurity , are essentially mainstream technologies .
The maths and logic behind AI & ML allows organisations to automate the monitoring of vast amounts of data and find patterns . These algorithms can spot anomalies in datasets that neither a human brain would be able to detect , nor a traditional firewall be able to prevent .
Imagine taking an eye test – we ’ re quick at reading the top line but get slower

These algorithms can spot anomalies in datasets that neither a human brain would be able to detect , nor a traditional firewall be able to prevent . as the text gets smaller . Then imagine having to read the smallest line , with a new line appearing every second , and then spot patterns . This is similar to the cybersecurity landscape .

Of course , humans are always the best form of defence and often , automated systems are only trusted if someone is overseeing the decisions being made . It ’ s this collaboration between humans and machines that can be an organisation ’ s strongest line of defence .
But first , we need to understand our organisation ’ s digital patterns . To do this , organisations need to ensure that all assets on the network are tracked through an IT Asset Management Program . Visibility of the network is key
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