Threshold-based alerting is failing because it treats living, changing systems like they’re frozen in time. Your CPU hits 95% at 3 AM, the pager screams, and you already know it’s that same batch job again, yet the rules don’t care…
Seeing a network threat early starts with knowing what “normal” really looks like. Instead of chasing every packet, you study the usual rhythm of your traffic, so even a small wrong note stands out. That means building a baseline of…
Some networks start to feel alive once you’ve watched them long enough. Traffic ebbs in the morning, spikes before lunch, slows in the late afternoon. There’s a rhythm there, almost like breathing, and after a while you notice when it’s…
The pager screams at 3 a.m., and you already know there’s a good chance the “anomaly” is nothing. Then, hours later, security reviews the logs and realizes a real threat slipped past while everyone was drowning in noise. That kind…
A network baseline is the honest portrait of your network’s daily life. It’s the predictable hum of email traffic at 9 AM, the steady stream of database queries, the normal chatter between your servers. Without this picture, every minor fluctuation…
You notice a strange spike in server traffic at 3 AM. A credit card charge appears from a country you’ve never visited. These are anomalies, and statistical anomaly detection models are the simplest, most explainable way to find them. They…
You need to see what’s wrong with your network before it breaks. Network anomaly detection methods are the tools that let you do that. They sift through the constant hum of data, looking for the odd blip, the strange pattern,…
You look at a vast collection of data, and something just feels off. There’s a pattern that shouldn’t be there, a blip that breaks the rhythm. Unsupervised learning anomaly detection is the art of finding those blips without a manual. …
Anomaly detection techniques in NTD is your digital smoke alarm. It doesn’t wait for a known fire, it sniffs out the first hint of smoke. We use it to find the strange, the unusual, the patterns in network traffic that…
Tuning signature based alerts is the essential process of adjusting your IDS/IPS rules to stop the flood of false alarms and start catching real threats. If you’re tired of sifting through hundreds of irrelevant alerts to find the one that…