AI Observability: Auditing And Tracing AI Decisions
F5, Thursday, February 19th, 2026
AI security teams are being asked to answer a new class of questions, often after something has already gone wrong. Why did an AI system allow this response? What policy was applied? Was sensitive data exposed? And can we prove it didn't happen elsewhere?
As AI becomes a core component of the tech stack, regulators, auditors, and internal governance teams increasingly expect clear, defensible evidence of how AI decisions are made and controlled. That expectation is driving a shift from basic monitoring toward true AI observability.