AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...
Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to ...
DockSec correlates findings from container security scanners and uses AI to generate remediation guidance and exact Dockerfile fixes.
A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal Confluence ...
Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...
GitHub confirmed attackers stole 3,800 internal repositories via a poisoned VS Code extension. The same threat group, TeamPCP ...
Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
Logs and telemetry are the foundation of modern cybersecurity. They enable threat detection, incident response, forensic investigation, and compliance across endpoints, networks, and cloud ...
Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
The attack on the Trellix source code repository disclosed last week has been claimed by the RansomHouse threat group, which leaked a small set of images as proof of the intrusion. Yesterday, the ...
Just two months ago, researchers at the Data Intelligence Lab at the University of Hong Kong introduced CLI-Anything, a new state-of-the-art tool that analyzes any repo’s source code and generates a ...
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