Trustworthy AI: Security, Explainability, Governance, and the 2026 Technical Ceiling
The article examines how increasingly capable large language models transition from merely avoiding harmful output to preventing harmful actions, outlining threat modeling, prompt injection, data‑pipeline attacks, architectural controls, interpretability, governance frameworks, and the unresolved technical limits that persist through 2026.
