A major update to the open-source flow-models framework introduces an interactive web interface for analyzing network flows ...
I added threat-models: ai to my CodeQL workflow. Now I want to think that if LLM output flows into SQL execution or a shell, ...
Inspect a local Electron/JavaScript directory or ASAR without executing its code. analyze_javascript_application and the CLI routes below return an Evidence record with the application graph, static ...
Create an empty GitHub repository named node-perfector. Leave README, license, and .gitignore unchecked because this project already includes them. For commit privacy, enable Keep my email addresses ...
Learn how to squeeze maximum RPS from a read-heavy API before buying more servers—using zero-serialization, Redis pipelining, and response streaming.
Learn how a Google Meet transcript pipeline handles event deduplication, source versioning, worker isolation, and canonical records for reliable AI memory.
September’s updates help you run agents on a schedule, load tool definitions on demand, and investigate behavior from traces. Routines and Tool Search are now GA; Insights enters public preview, and ...
CodeQLのworkflowにthreat-models: aiを加えた。これでLLMの出力がSQL実行やshellへ流れたら検出できる――そう考えたくなります。 ところがCodeQL 2.27.3の公式告知には、ai threat ...
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