Field Notes
Short observations from the AI risk surface.
Public research notebook
The public research notebook of Secure AI Atlas.
Learning Log is where ATLAS thinks in public.
Not every observation begins as an article. Some begin as a pattern, a doubt, a reading note, a design decision, or a field signal.
This section records how ATLAS evolves while mapping generative AI risk: what changes, what becomes clearer, what remains unresolved, and which questions deserve deeper analysis.
Short observations from the AI risk surface.
Comments on frameworks, reports, and technical references.
Decisions made while designing Secure AI Atlas.
Compact hypotheses in the ATLAS voice.
Unresolved problems that require further mapping.
Blog
Developed articles with a complete argument.
Risk Catalogue
Structured records of generative AI failure modes.
Controls Catalogue
Structured records of operational safeguards.
Learning Log
Evolving observations, signals, notes, and open questions.
External intelligence
Actionable external signals identified by the ATLAS daily pipeline. These links are source material, distinct from Secure AI Atlas editorial entries below.
External signal
arXiv CS.CR
External signal
arXiv CS.CR
External signal
arXiv CS.CR
External signal
arXiv CS.CR
External signal
arXiv CS.CR
External signal
arXiv CS.CR
Research in motion, recorded before every question has a final form.
A research note on TurnOPD, an on-policy distillation technique for long-horizon agent training. It is relevant to agent evaluation and training reliability, but it is not an operational security control.
How Secure AI Atlas turns external security signals into reviewed, published content through a seven-script pipeline with explicit risk bands, conflict resolution, and a still-evolving local/cloud LLM triage layer.
A structured comparison between local open-weight models (Ollama, RTX 5070, 16GB VRAM) and DeepSeek's cloud API for the conceptual-analysis stage of our security signal pipeline.
A build note on moving the ATLAS daily dispatcher from analysis-only execution to real publication, social, and mail invocations.
A public control review of how Secure AI Atlas constrains its own agent-assisted editorial and technical work.
A build note on making agentic editorial work observable, bounded, reviewable, and subordinate to human authority.
Seven observations from the agentic AI supply chain threat landscape as of late June 2026.
The first learning log entry records the purpose, voice, and early boundaries of Secure AI Atlas.