Discover 10 practical ChatGPT prompts SOC analysts can use to speed up triage, analyze threats, improve documentation, and ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Wasm, PGlite, OPFS, and other new tech bring robust data storage to the browser, Electrobun brings Bun to desktop apps, ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

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 ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

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 ...

Error Retrieval: Access error log entries. Insights: Generate statistics and metrics to identify trends (and maybe also anomalies). Executed Queries: Retrieve the ...

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 ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...