EDITOR ’ S question ore than half of the Australian
M businesses surveyed for Barracuda Networks ’ latest study believe that attacks are more sophisticated and more severe than they were a year ago , with incidents taking longer to recover from and fix . This is due in part to the ever-broadening attack surface of digital businesses , which offer attackers a wide range of potential attack targets , including vulnerable email accounts , under-protected or exposed web applications , APIs , SaaS services , cloud assets and more .
It is also influenced by the free availability of Generative AI tools , which attackers can leverage to scale the volume , speed and accuracy of their attacks , create adaptive malware and circumvent traditional detection measures – and that ’ s just what they can use it for today .
Fortunately , the same AI firepower is available to defenders . AI-driven cybersecurity technologies organisations can implement include intelligent email security , automated detection and incident response and powerful application security .
For example , AI can identify and filter out known phishing patterns and new threats by looking for unusual or suspicious changes in typical email behaviour and characteristics . By leveraging AI-driven email security , organisations can more accurately detect and mitigate phishing attacks , which are the most common way attackers enter the network .
AI-powered threat detection solutions can process vast amounts of data from various sources faster than any human can . These solutions establish
AI-powered threat detection solutions can process vast amounts of data from various sources faster than any human can .
‘ baselines ’ of normal behaviour across an organisation ’ s network and alert on any anomalies , enabling organisations to identify and respond to emerging threats more effectively .
Integrating AI into the incident response process can take pressure off security professionals , reduce the level of human error and speed up the incident triage process so that the security team has more time to detect , contain and neutralise attacks .
In application security , AI ’ s role extends to detecting anomalies , adjusting Machine Learning models and countering initial access and reconnaissance attempts . AI-powered solutions can detect malicious bots and enhance the overall effectiveness of security measures . By leveraging AI , organisations can optimise the detection of attacks in the application layer , reducing the attack surface and fortifying their overall security posture .
By incorporating these innovative AI-powered solutions into their cybersecurity programme , organisations can not only stay ahead of emerging cyberthreats but also fortify their overall security posture .
PAUL CRIGHTON , ANZ MANAGING DIRECTOR , BARRACUDA NETWORKS
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