The architectural evolution of artificial intelligence has undergone a profound structural shift, transitioning from discriminative classifiers and single-turn, stateless generative models to fully autonomous, agentic systems. Agentic AI systems are fundamentally defined by their capacity to persist state across extended temporal sessions, dynamically invoke external tools, orchestrate complex multi-step reasoning pathways, and autonomously spawn sub-agents … Continue reading The Taxonomy of Failure Modes in Agentic AI Systems and the 2026 Threat Landscape