Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alert fatigue? Manage alerts with AI and cybersecurity experts

In an environment where the volume of threats is growing and the pressure to protect critical assets is constant, oragnizations and managed service providers (MSPs) are inundated with notifications. Prioritizing critical vulnerabilities takes time, resources and careful analysis. However, false positives also slip into this constant flow of alerts. Far from being harmless, these false alarms can create an even bigger problem: alert fatigue.

Tired of Security Alert Fatigue? Stop Burnout with Hyperautomation

Every day, analysts are buried under a mountain of low-value and often meaningless alerts. And they’re expected to triage, investigate, prioritize, and respond to all of them — faster, better, and with fewer people. With this comes cybersecurity alert fatigue, which can lead to missed threats, slower response times, and SOC analyst burnout. The good news is that SOC analysts don’t have to live like this anymore. Not if you have the right kind of AI working for you.

ChatOps fatigue: how to create alerts that matter

In today's workplace, communication tools like Slack or Microsoft Teams are essential for staying connected at work. However, as orchestration and automation needs increase, so does the volume of notifications flooding these channels. What’s meant to streamline work can quickly become overwhelming. We call it "ChatOps fatigue" - when teams get so many alerts, they start tuning them out.

Minimizing False Positives: Enhancing Security Efficiency

Organizations waste enormous amounts of time chasing down security alerts that turn out to be nothing. Recent research from May 2025 shows that 70% of a security team's time is spent investigating alerts that are false positives, wasting massive amounts of time in the investigation rather than working on proactive security measures to improve organizational security posture.

How AI Can Reduce Alert Fatigue in Your SOC

Alert fatigue is a common phenomenon in Security Operations Centers (SOCs). It’s the digital equivalent of crying wolf. As SOCs are flooded with a relentless stream of alerts—many of which are low priority or false positives—it becomes increasingly difficult to identify truly critical security threats. Analysts are stuck spending countless hours verifying, contextualizing, analyzing, and acting on information, often at the cost of missing out on critical alerts.

Top tips: How to turn dark web alerts into your 1st line of defense

Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we focus on how businesses can turn dark web alerts into their first line of defense against emerging cyberthreats. After hearing about a burglary in your neighborhood, you might install a security camera. You double-check your house locks when you hear about thefts nearby.

From Alert Fatigue to Focused Response: A New Way Forward for The SOC

We’re all exhausted—both by the problem and by hearing about it. False positives and overwhelming alert volume have long plagued security operations. And despite years of innovation, solutions have remained elusive. Alert volume. Alert fatigue. SOC burnout. This persistent problem puts security teams in a tough position: For CISOs and SOC managers, it’s a lose-lose scenario.

Enhanced Email Incident Alerting Controls from GitGuardian

GitGuardian is helping reams respond to and remediate incidents more efficiently than ever, thanks to our new Enhanced email incident alerting controls. While you can configure GitGuardian alerts to integrate with servies like Slack, Teams, PagerDuty, and any other system that can work with JSON and webhooks, Email notifications are still the default way we send alerts.

Sequenced Event Templates via Risk-based Alerting

Sequenced event templates are pretty cool, but they were developed around the time that Risk-based Alerting (RBA) was developed in Splunk Enterprise Security. Additionally, they don’t have all the great context we can generate with the holistic picture provided by risk, so I want to provide guidance on how we would implement its equivalent in the RBA context as they are now deprecated in Splunk Enterprise Security 8.0. There are two approaches we can utilize that do slightly different things.