Teams are integrating LLM-powered agents into CI/CD pipelines and mistakenly treating them like traditional automation. Unlike scripts, agents reason about context and make decisions that were never explicitly coded, introducing unpredictable interactions and emergent failure modes. The author argues that automation-era binary trust models are insufficient for agentic systems, which require contextual, probabilistic trust. Three key governance requirements are proposed: semantic scope boundaries beyond IAM policies, audit trails capturing agent reasoning, and circuit breakers based on decision confidence thresholds rather than error rates alone. The teams that succeed in 2026 will be those that build governance infrastructure before deploying agents at scale.
Sort: