Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

OpenAI Codex CLI bug writes 640 terabytes per year to local SSDs through a TRACE-level SQLite logger that ignores RUST_LOG, ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

Abstract: A crucial element of Industry 4.0, is the utilization of smart devices that generate log files. Log files are key components containing data on system operations, faults (unexpected glitches ...

Simulated an enterprise environment to hunt for authentication anomalies using SQL. - shafeenfzl/SQL-Log-Analysis-Threat-Detection ...

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 ...

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 ...

I'm using the SysTools SQL Log Analyzer on Windows, and after running a scan on the transaction log file, the preview pane shows no records at all. The scan completes without errors, but no data is ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...