FEATURE: CYBERSECURITY professionals by 2030. This shortage places extra pressure on existing teams, who cannot afford to waste time sifting through irrelevant alerts.
That is why 24 / 7 monitoring is necessary, but only when it adds clarity rather than confusion. Without the right technology, even the best tools can bury teams in alerts. Many organisations have found that their current solutions catch some attacks but still leave blind spots – or, worse, cause alert fatigue by flagging too many non-malicious activities.
Asia Pacific under attack – Fast facts
• 12.8 % annual growth in cybersecurity budgets
• US $ 52 billion projected by 2027
• 2,510 weekly attacks per organisation in Q2 2023
• 23 % year-on-year increase
NDR can help by providing another layer of context. Unlike endpoint security, which primarily looks at devices, or perimeter firewalls, which focus on incoming traffic, NDR gives a panoramic view of the entire network. This capability is especially important for hybrid environments where traffic constantly flows between on-premises servers, cloud services and remote users.
AI-driven NDR: supercharging security and solving alert fatigue
NDR systems leverage Artificial Intelligence techniques like machine learning, heuristics and behaviour analysis to efficiently analyse millions of network sessions and surface malicious activity. Unlike traditional intrusion detection systems, they are agnostic to encryption and adapt to new attack methods, covering both north-south and east-west traffic.
In Asia Pacific, this matters because encryption rates are among the highest globally. More than 85 % of Internet traffic in developed markets like Japan and South Korea is encrypted. Legacy systems that cannot inspect encrypted data leave significant blind spots. AI-driven NDR, by focusing on metadata, anomalies and behavioural patterns,
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