What We Learned from Analyzing Millions of Alerts

Fact: Security professionals are drowning in detection noise. This is a trend we have seen in our annual Vectra AI State of Threat Detection reports and in many reports from security vendors and analysts alike. Every day, security professionals are facing piles of alerts, while most of them don’t mean much. So, we asked ourselves: what is actually happening when we look deeper into the data?  

We took a deep dive into millions of detections across MDR/MXDR and Respond UX deployments with the goal of getting a clearer picture of where the real threats are so that we can get a better understanding how security teams can work smarter, not harder.  

Patterns We Saw

Without giving it all away (you’ll want to check out the full report), here are a few themes we uncovered:

• After Vectra AI Agents’ triage, prioritization, stitching, and analysis, less than 0.1% of detections are real threats.  

• Identity-based attacks are dominating, especially from places we often overlook.

• Custom detections matter more than many realize, especially when it comes to surfacing high-value threats.

Why This Matters

When analysts are buried in noisy alerts, it's not just frustrating, but also risky and expensive. Every false positive costs time. Every missed true positive adds business risk. The math doesn’t lie: investigation time, staffing needs, and even response quality are all impacted when your tools can’t separate signal from noise.

This research shows why clarity is everything and how the right approach to prioritization can reduce noise, surface the threats that matter, and ultimately lower risk across the board.

Check out the full report: Reducing Noise, Elevating Threats

Learn how teams are cutting through the noise, reducing risk, and responding faster with Vectra AI. Contact us.  

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