Every week, another enterprise technology vendor issues a glossy press release announcing their new autonomous AI agent architecture, complete with a SOC 2 Type II report, an ISO 42001 certification, and an ironclad safety guarantee. On paper, the enterprise security battle looks won. In production, the trap is just snapping shut.
The core mistake modern enterprise leaders are making is treating AI safety as a design-time product certification rather than a live runtime execution problem. A model blueprint can be perfectly secure and rigorously aligned in a developer’s sandboxed testing lab. Yet, the moment that model is wrapped into an autonomous agent, granted internal API access, and task...