The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.

Ripple partners with AWS Bedrock AI to speed up XRPL log analysis, cutting process time from days to minutes for better network efficiency. Ripple is testing Amazon Web Services’ (AWS) Amazon Bedrock ...

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Abstract: Phishing attacks continue to bypass traditional defenses and burden non-technical users with manual, errorprone investigations. Existing tools are largely detectioncentric and rarely ...

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5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

NVIDIA introduces a self-corrective AI log analysis system using multi-agent architecture and RAG technology, enhancing debugging and root cause detection for QA and DevOps teams. NVIDIA has announced ...

Modern enterprises generate oceans of logs that span on-prem, cloud, IoT, and OT. Think identity, device, data, network, and application events. Logs are the backbone of visibility, but logs alone do ...

Abstract: Automatic log analysis is essential for the efficient Operation and Maintenance (O&M) of software systems, providing critical insights into system behaviors. However, existing approaches ...

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...