Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 4, 2025 · Artificial Intelligence

Why Most Anomaly Detection Alerts Miss the Mark: The Hidden Bayesian Truth

This article explores how modern monitoring at Alibaba integrates data science and machine learning to define anomalies, reviews major detection techniques, examines challenges like seasonality, heteroscedasticity and complex cycles, evaluates detection performance with ROC analysis, and reveals why alerts often have only a 2% chance of indicating a true anomaly.

Anomaly Detectionbayesian probabilityfalse positives
0 likes · 12 min read
Why Most Anomaly Detection Alerts Miss the Mark: The Hidden Bayesian Truth
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 3, 2025 · Artificial Intelligence

How Specialized Micro‑Agents Cut False Positives by 51% in AI Code Review

The article shares practical lessons from building the Cubic AI code‑review platform, showing how breaking a monolithic LLM into focused micro‑agents, adding explicit reasoning logs, and streamlining toolchains reduced false‑positive comments by 51% and dramatically improved developer trust.

AI agentsSoftware Engineeringcode review
0 likes · 7 min read
How Specialized Micro‑Agents Cut False Positives by 51% in AI Code Review
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Apr 30, 2020 · Information Security

How to Combine Proxies and Scanners to Cut Web Vulnerability False Positives

This article explores the limitations of traditional web vulnerability scanners and manual testing, proposes a proxy‑based architecture that captures real user requests for centralized analysis, demonstrates a demo implementation using Burp and custom scanners, and reflects on the design's strengths and remaining challenges.

Information SecurityProxyfalse positives
0 likes · 7 min read
How to Combine Proxies and Scanners to Cut Web Vulnerability False Positives