Security vendors and their customers have spent considerable time debating where to draw the line between “legitimate” AI agents and “malicious” bots. A 31-day campaign against a major consumer ...

Have you ever experienced the frustration of pasting clean Markdown written by ChatGPT or Claude into Notion, only to have it break because heading levels shifted or code blocks turned into plain ...

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...

Think: anomaly detection, custom models, faster reporting… all without leaving Excel. Pro tip: Copilot even helps you write + explain the Python code. 💬 What’s the first thing you’d automate with ...

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

This work introduces a spatially aware unsupervised anomaly detection framework for crop stress monitoring using multivariate soil sensor data. Unlike traditional feature-based anomaly detection ...

This dissertation presents a novel Machine Learning-Based Anomaly Detection (MLAD) framework specifically designed to detect and classify cyberattacks that target load forecasting data within power ...