Subj : What is alert fatigue and how can AI-powered NaaS reduce it? To : All From : TechnologyDaily Date : Wed Sep 24 2025 15:15:09 What is alert fatigue and how can AI-powered NaaS reduce it? Date: Wed, 24 Sep 2025 14:04:45 +0000 Description: Drowning in alerts? Learn how AI-driven NaaS eliminates noise and restores operator focus. FULL STORY ====================================================================== In a time when cloud adoption, remote work, and artificial intelligence are reshaping enterprise IT, both security and network operations teams are facing a growing crisisalert fatigue. This condition, driven by the relentless flood of alerts generated by monitoring tools, is becoming one of the most underestimated threats to enterprise resilience. As environments grow more dynamic and distributed, so too does the noiseand its taking a toll on human operators. The anatomy of alert fatigue Alert fatigue occurs when security operations centers (SOC) and network operations centers (NOC) are exposed to an overwhelming volume of notificationsmany of them false positives, redundant, or low priority. SOC teams may receive thousands of security alerts daily, while NOC teams manage an equally daunting stream of network events. Distinguishing meaningful signals from background noise becomes nearly impossible. Over time, this desensitization leads to important alerts being ignored, delayed, or dismissedleaving organizations vulnerable to real threats and outages. The problem is magnified by todays complex environments. Hybrid cloud, remote endpoints, IoT devices, and an ever-expanding range of access points have dramatically increased the attack surface. Traditional monitoring tools, built for less dynamic networks, err on the side of cautionflagging any anomaly as a potential breach or failure. While well-intentioned, this hyper-vigilance results in alert overload and drains critical human attention. The human and operational toll The effects are more than technicaltheyre human. SOC and NOC professionals face immense pressure to respond quickly, yet fatigue erodes responsiveness. Confidence in alert systems drops, leading to slower investigations, missed escalations, and eventual burnout. For overextended teams juggling lifecycle updates, hardware troubleshooting, and end-user support, an ever-growing queue of alerts is unsustainable. Worse, with a significant percentage of alerts going unacknowledged, attackers and network failures can hide in plain sight. Adversaries count on defenders being overwhelmedand alert fatigue plays directly into their hands. Why traditional tools and approaches arent enough Legacy infrastructure and tooling often worsen the problem. Many enterprise networks are a patchwork of disparate components stitched together over years of vendor acquisitions and incremental upgrades. Network monitoring tools in these ecosystems tend to surface alerts without context or remediation paths, leaving teams to diagnose and resolve issues manually. Even AI -powered dashboards or conversational interfaces often stop short of resolutionthey highlight problems but rely on operators to investigate and act. This adds friction, increases time-to-resolution, and fails to reduce the alert burden. A new approach: automation, AI, and Network-as-a-Service (NaaS) Solving alert fatigue demands more than better filters or prettier dashboardsit requires a shift in the underlying operational model. The answer lies in embedding intelligence into the IT infrastructure itself, enabling AI to not only detect problems but resolve them autonomously. This approach depends on consistent data collection, deep instrumentation, and standardized architecturecapabilities that purpose-built NaaS platforms inherently provide. With NaaS, automation can: - Minimize the number of events that generate alerts by detecting and fixing issues before they escalate. - Proactively handle alerts within the NaaS providers domain, reducing the burden on lean IT teams or enterprises with historically high alert volumes. When implemented with closed-loop automation, AI-powered NaaS environments can quietly resolve routine issues, escalating only those that require true human oversight. Moving from reactive to proactive Beyond reducing alert volume, organizations are shifting toward proactive security and network management. Zero trust architectureswhich verify every request, device, and connectionseal off attack vectors at the network level and reduce opportunities for lateral movement. When combined with AI-driven NaaS automation , this model dramatically reduces alert noise by preventing incidents before they occur. Misconfigurations, suspicious activity, and unmonitored endpoints are addressed in real time, long before they can generate a storm of alerts. The payoff: resilience, focus, and efficiency When false positives never reach human operators and routine fixes happen automatically, SOC and NOC teams can focus on strategic priorities instead of firefighting. With purpose-built NaaS, much of this happens by design. The providers end-to-end ownership of the network and security stack allows issues to be prevented, contained, or resolved before they ever reach the customer . This architectural advantage minimizes alert volume at the source and offloads operational burdenespecially valuable for lean IT teams. The result is greater resilience, lower overhead, and stronger security, all delivered through an infrastructure that works quietly in the background. Rethinking the infrastructure, not the alert In a truly modern environment, the best alert is the one you never have to seenot because threats are ignored, but because the architecture prevents most from occurring in the first place. Alerts are not the root problemlegacy and overly complex network and security architectures are. Modern, AI-driven NaaS platforms with self-healing and self-driving capabilities continuously learn from events, radically reducing alert volume while improving overall resilience. By simplifying infrastructure and consolidating security and networking into a unified, adaptive service, organizations eliminate much of the noise at the source. Conclusion Alert fatigue is not a side effect of digital transformationits a structural flaw in how legacy network and security architectures are monitored and managed. The path forward is clear: embrace automation, AI, zero trust, and NaaS architectures that act instead of just inform. By doing so, enterprises create environments where alerts are rare, relevant, and actionableand where IT professionals are empowered, not overwhelmed. We've featured the best AI website builder. This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro ====================================================================== Link to news story: https://www.techradar.com/pro/what-is-alert-fatigue-and-how-can-ai-powered-naa s-reduce-it --- Mystic BBS v1.12 A49 (Linux/64) * Origin: tqwNet Technology News (1337:1/100) .