AgentIX on XSIAM: Compute Unit Optimization Guide for Partners

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Operational reference for partners deploying agentic AI capabilities on #CortexXSIAM as #AgentiX CU charging enforcement continues to roll out.

What the guide covers

• CU consumption patterns across system agents and custom agents
• Model selection strategy - matching model tier to actual detection complexity
• Prompt efficiency techniques for AgentiX invocations
• Deterministic-first automation design - using traditional playbook steps where they suffice, reserving LLM invocations for cases that require them
• Common inefficiency patterns and remediation approaches
• Consumption forecasting methodology

Companion to the CU Intelligence Platform

This guide provides the qualitative optimization framework. The CU Intelligence Platform sizing tool provides the quantitative projection. Used together, partners produce both consumption forecast and optimization roadmap.

AgentIX on XSIAM: Compute Unit Optimization Guide for Partners

Who uses it

Partners currently operating XSIAM automation at scale, partners scoping AgentiX deployments for new customers, and MSSP partners projecting downstream AgentiX consumption across their customer base.

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#Agentix #XSIAM #Compute Units Optimization #Agentic AI #Partner Enablement