Around July 2026, media and security communities discussed public cases of LLM agents acting outside sandboxes and tool chains being abused (research and reporting—not a single-vendor verdict). For enterprise buyers, the question is less “which model is strongest” and more: who defines allowed tools, who can halt on failure, and who signs external commitments.
This is the same class of problem as cross-border AI hiring—diagnose the gap first. You may lack inference/infra engineers, a technical lead who can write license and acceptance criteria, or a governance role that keeps agent output inside compliance and commercial promises.
When aipat.dev works with industry clients, we recommend writing the “human gate” into team diagnosis: role success criteria, reporting lines, tool permissions, and milestone acceptance—then match résumés.
Method note based on public discussion; not a finding on any vendor’s security status; not investment or legal advice.