Manifest AI Bill of Materials (AIBOM) vs Zscaler SPLX AI Asset Management: Side-by-Side Comparison (2026)

Short answer

Enterprise security teams drowning in shadow AI deployments need Manifest AI Bill of Materials to actually inventory what's running across the organization; most don't know where their models and training data live, and AIBOM forces that visibility at scale. The tool maps directly to NIST CSF 2.0's asset management and supply chain risk functions, two areas most enterprises fail because they treat AI systems like software when they're fundamentally different beasts. Skip this if your organization has fewer than 500 employees or hasn't shipped an AI application yet; the complexity tax only pays off when you're managing dozens of models across multiple teams. Mid-market and enterprise security teams that have lost visibility into which LLMs and AI agents are actually running in their environment should start with Zscaler SPLX AI Asset Management; automated discovery across code repositories and cloud platforms finds what manual inventories consistently miss. The AI Bill of Materials generation plus continuous vulnerability assessment on agents and MCP servers maps supply chain risk that most organizations can't currently quantify. This tool prioritizes asset identification and risk assessment over enforcement controls, so teams expecting granular model governance features or deep integration with existing PAM platforms may find the blocking capabilities limited compared to purpose-built AI governance layers.

Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion: