Palo Alto Networks Cortex AgentiX vs Query.AI Query Agents: Side-by-Side Comparison (2026)

Palo Alto Networks Cortex AgentiX

Enterprise and mid-market SOCs buried under alert fatigue should evaluate Cortex AgentiX primarily for its incident response automation; the platform ships with 1000+ prebuilt playbooks and agentic AI that can execute remediation across endpoint, network, and cloud without human handoff. The NIST RS.MI and RS.AN coverage is substantive here,it actually closes the gap between detection and mitigation that most platforms treat as separate problems. Skip this if your team lacks the data normalization infrastructure to feed agents reliably; Cortex AgentiX assumes you're already normalizing logs through its Extended Data Lake or equivalent, and garbage in means agents that make poor decisions at scale.

Query.AI Query Agents

SOC teams drowning in alert noise need Query.AI Query Agents for one reason: it cuts triage time by automating the grunt work of evidence collection and context-building that analysts waste hours on today. The federated data mesh architecture means you're querying asset profiles, file hashes, network logs, and threat intel simultaneously without moving data, and the normalized AI-ready payloads push accuracy up where most SOAR tools fumble. Skip this if your team runs a mature incident response operation with custom automation already in place; Query Agents is built for organizations still manually pulling disparate data sources into spreadsheets during investigations.