Signal Divergence
AI Security Engineering is forming through research, building, security, public attention, governance, exploitation, harm, staffing, and funding at different speeds.
Start with the pressure: sales, launch, abuse, agents, data, or guardrails
Topic
The research, building, security, governance, incident, staffing, and funding systems through which a discipline becomes real.
Research record
Research on signal divergence and the institutional formation of AI Security Engineering.
Connected intelligence
AI Security Engineering is forming through research, building, security, public attention, governance, exploitation, harm, staffing, and funding at different speeds.
Only 8 Wikimedia pages are narrowly tagged AI-security-specific against a field with 3,411 strict AI-security arXiv papers and 437 classified GitHub repos — there is no canonical public reference for AI security engineering as a practice.
What companies really mean by AI Security Engineer and why the operating model is lagging the technology.