An AI Agent That Can't See the Whole Path Is Just a Faster Way to Be Wrong
Zscaler, Wednesday, July 1st, 2026
Zscaler argues AI agents in IT operations are limited by end-to-end data visibility, not model intelligence.
Author Rohit Goyal contends that an AI agent's effectiveness in IT operations depends primarily on complete data visibility rather than raw model intelligence, warning that a partial-view agent simply escalates faster.
The piece introduces parallel elimination, where agents simultaneously test multiple troubleshooting hypotheses across devices, networks, ISPs, and applications instead of checking them sequentially, dramatically cutting resolution time when full path visibility exists.
It recommends gating agent autonomy on confidence level, action reversibility, and blast-radius impact. Zscaler advises IT leaders to measure their agentic-operations ceiling by reviewing past escalations to see whether a single monitoring view could have shown the complete path at triage.