Jan 6 · 4 min read · Fraud evolves faster than rule‑based systems can keep up. Attackers constantly invent new tactics, exploit new markets, and probe the edges of every digital product. In my previous article — AI in Fraud Detection and Prevention — I explored how machi...
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Apr 20, 2025 · 2 min read · Why This Project Matters In today's microservices world, logs are everywhere. Each service, pod, or function emits logs constantly and traditional tools like grep, ELK, or Loki are reactive. What if you could detect anomalies automatically — even the...
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May 17, 2023 · 3 min read · In the previous article, we understood the 5th Unsupervised ml algo: dimensionality reduction. In this blog, we will cover our 6th unsupervised algorithm, Anomaly Detection What is Anomaly Detection? Anomaly detection is the identification of rare it...
Join discussionApr 2, 2023 · 3 min read · Introduction In the world of cybersecurity, network traffic analysis and anomaly detection are crucial for identifying potential threats and preventing cyber attacks. Traditional rule-based methods have limitations in handling the dynamic and complex...
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Mar 26, 2023 · 2 min read · Introduction Anomaly detection is the process of identifying patterns in data that deviate from the norm. In the context of cyber security, anomaly detection can be used to identify unusual activity in network traffic that may indicate a potential se...
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