AI safety covers the technical and behavioral risks of deployed AI systems, from sycophantic belief distortion to misaligned model behavior, and the tooling built to detect and constrain those failures at inference time.

How a product positions itself as infrastructure others build on top of, whether by exposing tool interfaces for AI agents, offering end-to-end capability suites to lock out point solutions, or outlasting competitors whose ideas get recycled by later entrants.